Showing posts with label using. Show all posts
Showing posts with label using. Show all posts
Friday, September 29, 2017
Using Robotium to test Android “Text Fields”
Using Robotium to test Android “Text Fields”
Robotium supports various functions to test Android single and multi line text fields.
The following are few APIs supported by Robotium to test the Text Fields,
- searchEditText(String text)
- clickOnEditText(int index)
- clearEditText(int index)
- typeText(int index, String text)
- enterText(int index, String text)
Test case for verifying the Text Fields :
Steps :- Wait for the activity to launch
- Enter a text in the Text Field
- Verify the text entered in the Text Field
- Clear the Text Entered in the Text Field
- Enter a new Test again and Verify the text entered.
1: public void testEditField() throws Exception { 2: solo.waitForActivity("MainActivity"); 3: 4: solo.clickOnEditText(0); 5: String strInput = "Sample code 1"; 6: solo.enterText(0, strInput); 7: boolean actual = solo.searchEditText(strInput); 8: assertEquals("text entered is not matching",true, actual); 9: 10: solo.clearEditText(0); 11: strInput = "Sample code 2"; 12: solo.typeText(0, strInput); 13: actual = solo.searchEditText(strInput); 14: assertEquals("text entered is not matching",true, actual); 15: }Explanation:
- solo.waitforActivity( ), is to wait for the activity to launch
- Enter Text in the Text Field : to enter a text in the Text filed, both �solo.enterText()� and �solo.typeText()� can be used.
- in �enterText(int index, String text)�, index is the index of the Text Field.
- if multiple Text Fields exists, first one will be assigned an index of 0, second one will get an index 1 and so on.. index increases from Top to Bottom or Left to Right
- Verify the Text Entered : to verify the text contained in the Text Filed, �solo.searchEditText()� can be used. it returns True, if pattern matches otherwise return False
- Clear the Text in the Text Field : to clear the Text exist in the Text Field, �solo.clearEditText()� can be used.
- �assertEquals()�, can be used to assert True/False
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Thursday, September 28, 2017
Using Google as a Proxy
Using Google as a Proxy
We often use schools and colleges internet connections, but they usually block access to undesired web sites (the "black list"). In order to access those sites you can do is use google translate as proxy to bypass this restrictions. So lets get into it.
Method 1
1. Visit whatismyipaddress and note down you real Ip Address2. Now Go to Google Translate
3. From Under Detect Language, Chose your language in my case English
4. Now type http://whatismyipaddress.com/ in text area and click on Translate
5. Now check your Ip Address, Its different from the real one.
Method 2
1. Go to link given below:http://www.google.com/translate?langpair=es|en&u=www.mybloggersworld.com
2. Change www.mybloggersworld.com to website you like to visit.
3. Done!
If you use this trick, you are not sure to protect your privacy, this kind of connection lets you see blacklisted or banned pages but does not hide your IP address.
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Wednesday, September 27, 2017
Easy Way to install Android Applications Using 91 Android PC Suite
Easy Way to install Android Applications Using 91 Android PC Suite
This application is useful when your Android handset has no File Manager and Play Store that installed in your mobile.
Download 91 Android PC Suite here and install to your computer.Right click the shortcut icon then Run as Administrator and your mobile must in USB Debugging mode.
Tested on Sony Ericsson android handset. When your handset detected by this application software click Apps tab and a window will appear.
Click the Install tab and locate the apk file that saved in your computer.
Open the apk file that you want and click Install
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Easy Way to Unlock Samsung Galaxy Ace T959 Using Z3x Box
Easy Way to Unlock Samsung Galaxy Ace T959 Using Z3x Box
There are many tools use in rooting but I preferred to used 91 Android Tool. Be sure that the handset is in USB debugging Mode. After successful rooting open Z3x Samsung tool. Click Read info then press unlock tab.
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Tuesday, September 26, 2017
HACK WIFI USING ANDROID – WPS WPA TESTER PREMIUM V 2 8 2 LATEST VERSION FREE DOWNLOAD
HACK WIFI USING ANDROID – WPS WPA TESTER PREMIUM V 2 8 2 LATEST VERSION FREE DOWNLOAD
After the success of �Wifi wps wpa tester�
comes the Premium version!
� NO ADVERTISING �
� OPTION COPY PASSWORD
� REVOLUTIONISED THE MENU ��SHOW
PASSWORD�
Try if your wireless network is secure or not!
thanks to this app and thanks to the
algorithm of wps default (zaochensung)
SOME of routers, you can receive the WPA
WPA2 WEP set to the router.
************************************************
The app needs permission superuser (root),
otherwise it displays only the default WPS.
Algorithms used:
-Zhao
-vodafone arcadyan
� Added default pin of many routers
APPLICATION USE ONLY WITH ROUTER
PROPERTY FOR ITS NOT GOING AGAINST
THE LAW.
������������������������
What you need:-
#Rooted Android Device (4.0+ recommend)
#Busybox Installed
#Good Signal
������������������������
How to use
1.Open app and press refresh ?
2.Then the list of WiFi networks available will be shown.
3.If you see a green Lock Icon click on it
4.Press Try to Connect
5.Select method (Root / Non Root)
6.In seconds a pop up will appear with the password
7.Enter the password and enjoy free WiFi
List of Most Vulnerable routers
iBall Baton
TP Link
D Link
MBlaze
And many more
Recommended to use on high signal .It may not work on low signals
What�s New?
2.8.2
-Added so many default Pin
I want you to remember that busybox is NECESSARY.
Screenshots:-
Download from belows link
Wait 5 seconds and Skip AD
download file now
Monday, September 25, 2017
Using Google Analytics with Leadfeeder for B2B Lead Generation
Using Google Analytics with Leadfeeder for B2B Lead Generation
Google Analytics is an important tool for marketers. It�s used to understand how people come to your website, how different content performs and how to get more conversions. All this is essential for knowing how to drive more high-quality traffic to your website.
For most B2B firms, the main purpose of their website is to generate sales leads by getting visitors to fill in some kind of contact form. But many see that just a fraction of visitors leave their contact information, and as a result, salespeople don�t get enough good quality leads from their website. So what can be done to improve this situation?
This guide will show you the 3 best ways to generate leads with Google Analytics:
1. Using Google Analytics Network report
2. Using a custom Google Analytics report template tool
3. Using Google Analytics with Leadfeeder for lead generation
One way to gain more leads from your website is identifying companies that visit, based on their IP address. With this data, you can have some information about the 98% of visitors that don�t explicitly contact you. When people visit a website using their office network, marketers can identify that someone from a certain company has visited and pinpoint what they have done there. For B2B outbound sales teams, this information can be very valuable.
If you see a company visiting your website, there�s a high probability that they�re in need of- and evaluating your product, which is the perfect time to get in touch with them.
Based on the IP address alone, it�s impossible to know exactly the name of the visitor, but in many cases this information is not needed. For example, if you sell email marketing tools and a company comes to your website and browses product pages, it�s a strong signal they are looking for a new email marketing tool. When you contact them, you want to contact the person who�s responsible for digital marketing, regardless of who visited your website.
For effective lead generation purposes, you should be able to identify real companies that have visited your website and see how they have behaved, to evaluate if they are a good lead.
1. Using Google Analytics Network Report
Using the Network report is the most common way to see which companies have been visiting your website. There have been many blog posts about this topic, for example this LunaMetrics post by Dan Wilkerson from 2012, this how-to article from Anna Lewis and a post by Traian Neacsu on uncovering hidden leads.
But these posts are all now a couple of years old and the Google Analytics interface has changed quite a lot since then. These days (2016) you can find the Network report in Google Analytics under Audience > Technology > Network.
Network report in Google Analytics
In the Network report (seen above) you will see a list of �Service Providers�. What Google Analytics means by �Service Provider� is the network where the visitor has been when they visited your website. Networks are always owned and registered by someone; typically a company, Internet Service Provider or some other organization.
One challenge in using the Network report is that many times the IP is registered by an Internet Service Provider (ISP) or some other non-interesting organization. In order to see the real companies, you should filter out ISPs from the list. The easiest way of doing this is to use the advanced search button and select to exclude Service Providers that match the following RegExp (just copy/paste this to the filter):
Now the list of visiting companies should look a lot cleaner. If you wish to filter the results even further, e.g. only companies from a specific country, you should create a segment out of visitors from that country and look at the report again.
By default for each company in the list you can see how many sessions they have had during the selected time interval, how many pages they have visited and other metrics. When you click on one company, you can get to a more detailed report, like this one below.
In this view, select �Page Title� or �Page� as secondary dimension to know which pages the company has visited. This way you know what they have done on your website and what they were interested in. If they were visiting relevant product pages or they spent a lot to time on your site but didn�t contact you, maybe it�s a good lead for your outbound sales team to contact.
Using Network report to see what company did on the website
If you would really like to know what each company and their employees have done on your website, you can go to the brand new User Explorer report under the Audience section in Google Analytics. This report was introduced in Google Analytics in April 2016 and in the report you can dive into individual visitors and their behavior.
To know what a company did on your website, just create a segment where the Service Provider matches the company you are interested in (see below).
Using User Explorer to see visitors from one company
By doing this Google Analytics shows you Client IDs (anonymous and unique IDs of each visitor) from that company and by clicking one client ID (one user) you can see all the behavior of that user on your website. This way you can have a good understanding about what any given person from one specific company did on your website. Pretty powerful stuff, as you can see below.
Using User Explorer to see visits of one user
2. Using a custom Google Analytics report template tool
At Leadfeeder we created a ready-to-use Google Analytics custom report that anyone can take into use for free. Just click the link below and attach it as a custom report to the Google Analytics View you typically use:
https://analytics.google.com/analytics/web/template?uid=zAQeJwWfT0yxlk8wfPWaGA
When you click this link, you will be directed to Google Analytics and asked which view you want to attach it to. Remember that by default this custom report will be visible only for you. If other users want to use this report, they should also click the Add to Dashboard link above.
B2B Lead generation report by Leadfeeder
Our custom tool by default shows the most interested companies that have visited your website. To be more precise, this is a list of companies after ISP filtering (using the filter pasted above) sorted by pages / session, with the most interesting visits on top.
Typically companies that have spent a lot of time and loaded many pages are more interested than companies with many short visits. Once you click an interesting company, you can see a list of days on which they have visited. When you click even further into a specific date, you can see a breakdown of all the pages they visited. If page titles are not descriptive enough or not set, you can use �Page� as a secondary dimension to see page URLs (as shows below).
Using B2B Lead generation report by Leadfeeder
In the tool you can see several tabs that you can use (see above). The most interested companies tab is selected by default, but you can also select the second tab � companies with most visitors � that shows companies that have most visits on your website. Many times here you can find ISPs that were not filtered out along with other non-interesting companies. If you like, you can drill into details in the same way as in the first tab.
The 3rd and 4th tabs in the report are selectors that you can use to filter data. For example, if you are only interested in German companies, go to �Selector: Visitor location� tab and select Germany. After that click to the first tab to see the most interested companies from Germany. If you have a sales representative located in Germany searching for German leads, you can automatically have Google Analytics send this lead list by daily or weekly email.
Automating notifications from B2B Lead generation tool by Leadfeeder
Similarly, if your sales team�s responsibilities are divided by product, then sales reps might only be interested in leads that have visited certain product pages. Go to �Selector: Visited page� tab and select the product page each sales rep is interested in. Again, after making the selection, go to the first tab to see the list of the most interested companies visiting that product page and automate lead reports to your sales rep�s mailbox. You can also combine these selectors to create a list of companies from a specific country that have visited a specific product page.
3. Using Google Analytics with Leadfeeder for lead generation
Using the Google Analytics user interface for lead generation is possible as you can see, but not very salesperson-friendly.
In order to better generate leads from your website for your sales department and do much much more, we created an online tool called Leadfeeder. Since Google Analytics is already collecting all the data about your website visitors, Leadfeeder fetches this data from Google Analytics API and does all the data crunching for you.
Leadfeeder lead generation main report
Once you sign up to Leadfeeder, it fetches all visitor data from your Google Analytics for the past 30 days. You don�t need to install any codes or script on your website; all you need to do is permit Leadfeeder to access your Google Analytics.
The web app filters out ISPs (a lot more than the Google Analytics filters shown in this post) handing you a clean list of companies. Once you see an interesting company and click on it, you see visit-by-visit, page-by-page what they have done on your website (as shown below). Leads are also enriched with additional company information such as company branch and size. With all this information it�s easier to determine whether the lead is interesting and whether they should be contacted.
Leadfeeder showing which pages a company has visited
Not all website visitors are interesting, so you can use custom feeds to filter out bounces and view only companies that have behaved in a way you find interesting. For example, you can define a custom feed rule to only show companies from a certain country, from a specific industry, companies that have visited a set number of pages and have visited a specific page but haven�t contacted you.
Using this kind of custom feed you can get a much more relevant list of leads for your sales team. In many companies sales responsibilities are divided by region or product so it�s good practice to make custom feeds for individual sales reps for only their areas of responsibility. Salespeople can subscribe to their personal custom feed to get daily or weekly email notifications about new companies that visit their website and match the set criteria. Understanding the online behaviour of your website visitors combined with knowing the location of the company visit gives sales reps powerful weapons for successful follow-up.
Using custom feeds in Leadfeeder to filter lead list
Seeing a qualified list of interested companies is already powerful, but this sales intelligence should fit within your existing sales process to be really useful. We know it�s the dream of many sales reps to have good leads magically appear in their CRM without the need to do anything, so that�s why at Leadfeeder we have built integrations to sync visitor data with your CRM.
The integration to Pipedrive and WebCRM are made two-way, which means that in Leadfeeder you can see CRM data for the visiting company, while in your CRM you can see all the website visits the company has made, once it�s been connected.
This makes it easier for sales reps to distinguish between new and old clients in Leadfeeder, create accounts and opportunities in their CRM with one click from Leadfeeder, and see in their CRM how prospects are interacting with their website.
Using CRM integration to sending leads from Leadfeeder to CRM
If you are not using a CRM at all, leads can also be sent to sales reps by email or you can assign leads for them to see inside Leadfeeder. It�s good practice to invite the whole sales team to use Leadfeeder with their own user profiles and it�s free to add users.
In addition, if you are using Mailchimp for email marketing, you can connect it to Leadfeeder to see in Leadfeeder what individuals do on your website when they click through from one of your MailChimp campaigns. This is possible because Mailchimp tags links uniquely for all recipients and Leadfeeder can transform these unique links into email addresses. This way you can know exactly who the visitor was on your website.
Leadfeeder offers a free 30-day trial with no credit card required, so if you are in B2B business and would like to get more sales leads, go and sign up at www.leadfeeder.com.
Conclusions
Web analytics has made marketing a lot more intelligent during the last 10 years, but similar development hasn�t transferred to sales.
Web analytics has enabled email tools to evolve into marketing automation by tracking what email clickers do on your website and triggering follow-up emails. Display marketing, similarly, has evolved into very efficient remarketing, where ads are shown to those who have completed action on your website.
In short, there are a lot of digital signals potential customers are giving all the time, but those haven�t been utilized well in sales so far. Many sales reps come to work, open their CRM and start calling through a lead list someone has given them. Meanwhile there are lots of potential customers browsing their website but sales reps aren�t aware of who they are. Our aim at Leadfeeder is to make sales more intelligent by providing salespeople actionable web analytics intelligence about potential customers, thereby making sales more effective.
Posted by Pekka Koskinen, Google Analytics Certified Partner
For most B2B firms, the main purpose of their website is to generate sales leads by getting visitors to fill in some kind of contact form. But many see that just a fraction of visitors leave their contact information, and as a result, salespeople don�t get enough good quality leads from their website. So what can be done to improve this situation?
This guide will show you the 3 best ways to generate leads with Google Analytics:
1. Using Google Analytics Network report
2. Using a custom Google Analytics report template tool
3. Using Google Analytics with Leadfeeder for lead generation
One way to gain more leads from your website is identifying companies that visit, based on their IP address. With this data, you can have some information about the 98% of visitors that don�t explicitly contact you. When people visit a website using their office network, marketers can identify that someone from a certain company has visited and pinpoint what they have done there. For B2B outbound sales teams, this information can be very valuable.
If you see a company visiting your website, there�s a high probability that they�re in need of- and evaluating your product, which is the perfect time to get in touch with them.
Based on the IP address alone, it�s impossible to know exactly the name of the visitor, but in many cases this information is not needed. For example, if you sell email marketing tools and a company comes to your website and browses product pages, it�s a strong signal they are looking for a new email marketing tool. When you contact them, you want to contact the person who�s responsible for digital marketing, regardless of who visited your website.
For effective lead generation purposes, you should be able to identify real companies that have visited your website and see how they have behaved, to evaluate if they are a good lead.
1. Using Google Analytics Network Report
Using the Network report is the most common way to see which companies have been visiting your website. There have been many blog posts about this topic, for example this LunaMetrics post by Dan Wilkerson from 2012, this how-to article from Anna Lewis and a post by Traian Neacsu on uncovering hidden leads.
But these posts are all now a couple of years old and the Google Analytics interface has changed quite a lot since then. These days (2016) you can find the Network report in Google Analytics under Audience > Technology > Network.
Network report in Google Analytics
In the Network report (seen above) you will see a list of �Service Providers�. What Google Analytics means by �Service Provider� is the network where the visitor has been when they visited your website. Networks are always owned and registered by someone; typically a company, Internet Service Provider or some other organization.
One challenge in using the Network report is that many times the IP is registered by an Internet Service Provider (ISP) or some other non-interesting organization. In order to see the real companies, you should filter out ISPs from the list. The easiest way of doing this is to use the advanced search button and select to exclude Service Providers that match the following RegExp (just copy/paste this to the filter):
(not set|customer|internet|broadband|isp|cable com|network|tele|dsl|subscriber|pool|telecom|cable|addresses|telefonica|routed|leased line|communication|comcast|verizon|road runner|service provider|unknown|provider|t-mobile|wifi|telkom|sprint|at-t|residential|province|vodafone|clients|china|dial-up|netblock|wimax|wireless|elisa|sonera|dna oy|at&t|assigned|sl-cgn|block|consumers|kpn|telia|bredband|google|hosting|zscaler|city of|tdc|hubspot)
Now the list of visiting companies should look a lot cleaner. If you wish to filter the results even further, e.g. only companies from a specific country, you should create a segment out of visitors from that country and look at the report again.
By default for each company in the list you can see how many sessions they have had during the selected time interval, how many pages they have visited and other metrics. When you click on one company, you can get to a more detailed report, like this one below.
In this view, select �Page Title� or �Page� as secondary dimension to know which pages the company has visited. This way you know what they have done on your website and what they were interested in. If they were visiting relevant product pages or they spent a lot to time on your site but didn�t contact you, maybe it�s a good lead for your outbound sales team to contact.
Using Network report to see what company did on the website
If you would really like to know what each company and their employees have done on your website, you can go to the brand new User Explorer report under the Audience section in Google Analytics. This report was introduced in Google Analytics in April 2016 and in the report you can dive into individual visitors and their behavior.
To know what a company did on your website, just create a segment where the Service Provider matches the company you are interested in (see below).
By doing this Google Analytics shows you Client IDs (anonymous and unique IDs of each visitor) from that company and by clicking one client ID (one user) you can see all the behavior of that user on your website. This way you can have a good understanding about what any given person from one specific company did on your website. Pretty powerful stuff, as you can see below.
Using User Explorer to see visits of one user
2. Using a custom Google Analytics report template tool
At Leadfeeder we created a ready-to-use Google Analytics custom report that anyone can take into use for free. Just click the link below and attach it as a custom report to the Google Analytics View you typically use:
https://analytics.google.com/analytics/web/template?uid=zAQeJwWfT0yxlk8wfPWaGA
When you click this link, you will be directed to Google Analytics and asked which view you want to attach it to. Remember that by default this custom report will be visible only for you. If other users want to use this report, they should also click the Add to Dashboard link above.
B2B Lead generation report by Leadfeeder
Our custom tool by default shows the most interested companies that have visited your website. To be more precise, this is a list of companies after ISP filtering (using the filter pasted above) sorted by pages / session, with the most interesting visits on top.
Typically companies that have spent a lot of time and loaded many pages are more interested than companies with many short visits. Once you click an interesting company, you can see a list of days on which they have visited. When you click even further into a specific date, you can see a breakdown of all the pages they visited. If page titles are not descriptive enough or not set, you can use �Page� as a secondary dimension to see page URLs (as shows below).
Using B2B Lead generation report by Leadfeeder
In the tool you can see several tabs that you can use (see above). The most interested companies tab is selected by default, but you can also select the second tab � companies with most visitors � that shows companies that have most visits on your website. Many times here you can find ISPs that were not filtered out along with other non-interesting companies. If you like, you can drill into details in the same way as in the first tab.
The 3rd and 4th tabs in the report are selectors that you can use to filter data. For example, if you are only interested in German companies, go to �Selector: Visitor location� tab and select Germany. After that click to the first tab to see the most interested companies from Germany. If you have a sales representative located in Germany searching for German leads, you can automatically have Google Analytics send this lead list by daily or weekly email.
Similarly, if your sales team�s responsibilities are divided by product, then sales reps might only be interested in leads that have visited certain product pages. Go to �Selector: Visited page� tab and select the product page each sales rep is interested in. Again, after making the selection, go to the first tab to see the list of the most interested companies visiting that product page and automate lead reports to your sales rep�s mailbox. You can also combine these selectors to create a list of companies from a specific country that have visited a specific product page.
3. Using Google Analytics with Leadfeeder for lead generation
Using the Google Analytics user interface for lead generation is possible as you can see, but not very salesperson-friendly.
In order to better generate leads from your website for your sales department and do much much more, we created an online tool called Leadfeeder. Since Google Analytics is already collecting all the data about your website visitors, Leadfeeder fetches this data from Google Analytics API and does all the data crunching for you.
Once you sign up to Leadfeeder, it fetches all visitor data from your Google Analytics for the past 30 days. You don�t need to install any codes or script on your website; all you need to do is permit Leadfeeder to access your Google Analytics.
The web app filters out ISPs (a lot more than the Google Analytics filters shown in this post) handing you a clean list of companies. Once you see an interesting company and click on it, you see visit-by-visit, page-by-page what they have done on your website (as shown below). Leads are also enriched with additional company information such as company branch and size. With all this information it�s easier to determine whether the lead is interesting and whether they should be contacted.
Not all website visitors are interesting, so you can use custom feeds to filter out bounces and view only companies that have behaved in a way you find interesting. For example, you can define a custom feed rule to only show companies from a certain country, from a specific industry, companies that have visited a set number of pages and have visited a specific page but haven�t contacted you.
Using this kind of custom feed you can get a much more relevant list of leads for your sales team. In many companies sales responsibilities are divided by region or product so it�s good practice to make custom feeds for individual sales reps for only their areas of responsibility. Salespeople can subscribe to their personal custom feed to get daily or weekly email notifications about new companies that visit their website and match the set criteria. Understanding the online behaviour of your website visitors combined with knowing the location of the company visit gives sales reps powerful weapons for successful follow-up.
Seeing a qualified list of interested companies is already powerful, but this sales intelligence should fit within your existing sales process to be really useful. We know it�s the dream of many sales reps to have good leads magically appear in their CRM without the need to do anything, so that�s why at Leadfeeder we have built integrations to sync visitor data with your CRM.
The integration to Pipedrive and WebCRM are made two-way, which means that in Leadfeeder you can see CRM data for the visiting company, while in your CRM you can see all the website visits the company has made, once it�s been connected.
This makes it easier for sales reps to distinguish between new and old clients in Leadfeeder, create accounts and opportunities in their CRM with one click from Leadfeeder, and see in their CRM how prospects are interacting with their website.
If you are not using a CRM at all, leads can also be sent to sales reps by email or you can assign leads for them to see inside Leadfeeder. It�s good practice to invite the whole sales team to use Leadfeeder with their own user profiles and it�s free to add users.
In addition, if you are using Mailchimp for email marketing, you can connect it to Leadfeeder to see in Leadfeeder what individuals do on your website when they click through from one of your MailChimp campaigns. This is possible because Mailchimp tags links uniquely for all recipients and Leadfeeder can transform these unique links into email addresses. This way you can know exactly who the visitor was on your website.
Leadfeeder offers a free 30-day trial with no credit card required, so if you are in B2B business and would like to get more sales leads, go and sign up at www.leadfeeder.com.
Conclusions
Web analytics has made marketing a lot more intelligent during the last 10 years, but similar development hasn�t transferred to sales.
Web analytics has enabled email tools to evolve into marketing automation by tracking what email clickers do on your website and triggering follow-up emails. Display marketing, similarly, has evolved into very efficient remarketing, where ads are shown to those who have completed action on your website.
In short, there are a lot of digital signals potential customers are giving all the time, but those haven�t been utilized well in sales so far. Many sales reps come to work, open their CRM and start calling through a lead list someone has given them. Meanwhile there are lots of potential customers browsing their website but sales reps aren�t aware of who they are. Our aim at Leadfeeder is to make sales more intelligent by providing salespeople actionable web analytics intelligence about potential customers, thereby making sales more effective.
Posted by Pekka Koskinen, Google Analytics Certified Partner
download file now
Sunday, September 24, 2017
Unlocking Samsung Prime SM G530H using Z3X Box
Unlocking Samsung Prime SM G530H using Z3X Box
TFT capacitive touchscreen, 16M colors, 5.0 inches (~66.0% screen-to-body ratio), Android OS, v4.4.4 (KitKat), Qualcomm MSM8916 Snapdragon 410, Quad-core 1.2 GHz Cortex-A53, GPU Adreno 306, LTE supported.
Root first using Odin USB debugging must on then after root open Z3X software then check EFS clear and hit flash next, Wipe EFS and lastly Write Cert which you can downloaded the file later or contact me for Cert file and root file.
Rooting Done
Write Cert done.
download file now
Hack Facebook Using Your Android Phone
Hack Facebook Using Your Android Phone
Hey geeks today in this post we will learn about hacking facebook account using Android phone Faceniff is probably the most easiest way to gain access to someone�s Facebook account and also works for twitter, YouTube, amazon, and blogger accounts. It can be done completely from your android phone and is compatible with most of the android devices. .
 |
| Faceniff |
Requirements:-
� Android Phone Must Be Rooted.
� You must be on the same network as the
person you want to hack into.
� The person must be currently using
Facebook on the computer.
Steps To Hack Facebook With Android:-
� Download Cracked faceniff - Download Here
� Once the app is downloaded, install it and
then connect the Wi-Fi of your victim.
� Open the faceNiff app and press the start
button on the top. If it ask you to allow
permission for the app, do so.
� It will now be monitoring activity. Anyone
who uses Facebook, YouTube, twitter,
amazon on the network you are connected
to will show up on your phone. Simply
click on them and you will be logged in
into their account.
Note: With the normal faceniff application you can hack only 3 facebook accounts but with this cracked version of facniff you can hack unlimited fb accounts....
So Enjoy....
download file now
Friday, September 22, 2017
Using machine and deep learning concepts to detect anomalies
Using machine and deep learning concepts to detect anomalies
Most of the threat detection software are based on signature (pattern) techniques that look for evidence known to be indicative of misuse. Those threats can be from hackers on the Internet, on the local network or legitimate users of the network and such protection system must always be up to date since it can detect only attacks for which patterns are built into the system. However, using machine learning techniques it is possible to learn from and make predictions based on data in order to create anomaly based detection system that looks for signs that something is not normal user behavior.
Among some of the popular techniques used for anomaly detection, two will be briefly analyzed in this post: Long short term memory (LSTM) and One Class Support Vector Machines (OCSVM).
LSTM
The idea of recurrent neural network (RNN) is to make use of sequential information which depend on each other. Unlike feedforward networks, the output depends on the previous computation and same task is performed for every element of a sequence. Thats why they are considered to have a "memory" about what has been calculated, but they are limited to looking only a few steps back. LSTM is a RNN architecture designed to be better at storing and finding long range dependencies in the data than standard RNNs. Also, LSTM can map one input to many outputs, many inputs to many outputs or many inputs to one output.
The diagram (and the legend) below illustrates how data flows through LSTM memory cell.
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| Source: DL4J |
The blue arrows represent "peephole connections" which is one popular LSTM variant that lets the gate layers look at the cell state. There are other variants to LSTM but the diagram above represents the traditional one thus you can ignore those blue arrows.
OCSVM
This machine learning algorithm builds a model from training on normal data and then classifies test data as either normal or attack, based on its geometrical deviation from the training data. So, it is used for two-class problems in which only one of the two classes can be described well. Those classes are respectively called the target class and the outlier class. The boundary between those two classes must be defined such that it includes maximum number of target examples and minimizes the chance of accepting outliers.
The algorithm maps input data into a high dimensional feature space (via a kernel function) and determines a hyperplane (linear decision boundary) that best separates the training set from the origin with maximal margin. The mentioned kernel function commonly used for mapping the points is the RBF kernel.
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| Source: "A real time OCSVM Intrusion Detection module with low overhead for SCADA systems", Leandros Maglaras & Jianmin Jing |
Using the hyperplane, a label can be assigned to any test example x such as: if f (x) < 0, then x is labeled as an anomaly (outlier class), otherwise it is labeled normal (target class).
Notice that this blog post has been written with the assumption that the reader already has some knowledge about neural networks. If thats not the case, I recommend this learning source.
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Fifa 14 Premium Unlock Hack For IOS 6 7 Iphone IPad Ipod Touch… NO Need To Jailbreak Using Pc download hack
Fifa 14 Premium Unlock Hack For IOS 6 7 Iphone IPad Ipod Touch… NO Need To Jailbreak Using Pc download hack
Fifa 14 is nonpros to download but you manifesto to budget 4.99$ to religieux messages kick off,manager defined legal action and tournament.So i cog the dice conventionality in this video. Link 1(Fifa 14 downloa�
Video Rating: 4 / 5
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Video Rating: 3 / 5
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Tuesday, September 19, 2017
Finding Ip Address Of A Website Using Command Prompt Or CMD
Finding Ip Address Of A Website Using Command Prompt Or CMD
In this tutorial i will teach you to find Ip Address of any website using Command Prompt or in short CMD. Using IP Address you can find location of the website server and do more stuff. I will demostrate this tutorial with Google but you can use this method to find IP Address of any website like twitter, facebook etc. So lets get started.
How to find IP ?
1. Go to Start > Type CMD and press Enter.2. Now write Ping followed by website URL whose IP you want to find.
In my next post i will show you another easy way to find website IP Address and teach you to use this IP to find its location.
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Unlocking Pocket WiFi Huawei E5336 using NCK Box!
Unlocking Pocket WiFi Huawei E5336 using NCK Box!
- 1.45" LCD screen
- Up to 10 WiFi devices connection
- 1500 mAh battery support 6 hours working time, 300 hours standby time
- WiFI 802.11 b/g/n
- Support Windows, MAC, iPhone, iPad and Android devices.
Open NCK main software and navigate Huawei modems, select the model and type the IMEI of the device located at the back of device.
Click Calculate Unlock Code and wait for the calculated codes provided by the program. Insert the device in USB to the computer and install driver. Then send the calculated codes through USB and all done!
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Unlocking Samsung T959W using Z3X Box
Unlocking Samsung T959W using Z3X Box
Super AMOLED capacitive touchscreen 16M colors, 4.0 inches (~57.7% screen-to-body ratio), Corning Gorilla Glass, Android OS, v2.1 (Eclair), upgradable to v2.2 (Froyo), 16 GB and 512 MB RAM, 5 MP, 2592 x 1944 pixels, auto-focus.
Root first using iRoot USB debugging must on then after root open software select the model and hit Unlock.
Done
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Friday, September 15, 2017
Using grep to Unearth Old Windows User Names 7 30 08
Using grep to Unearth Old Windows User Names 7 30 08
Identifying Deleted User Accounts in Windows
I was recently presented with three laptop computers suspected as stolen. My task was to identify the owners. I chose to use a Linux forensic boot disk (one that would not automatically mount the partitions) to conduct the examination to avoid disassembling the computers to access the hard disk drives.
It became apparent on the first computer that the original user account(s) were deleted. There was a major discrepancy between the single user account (in one of the suspects names) and in the installation date of the Windows Vista OS.
After studying Internet Explorer index.dat files recently, I decided to target deleted index.dat content. IE index.dat files contain the usernames of the active user browsing the web with Internet Explorer, as well as some local file system activities. I used the following command from the Linux terminal to fish for old user account names:
$ tr [:cntrl:] < /dev/sda | grep -abE --colour=auto (((:[0-9]{16,16}|Visited):[[:space:]])|Cookie:).+@
The command, broken down, does the following:
- tr [:cntrl:] - translates control characters to line feeds to keep the grep memory buffer from exhausting.
- < /dev/sda - feeds the raw data from device sda (the laptop hard disk) into the translate command. The device may be substituted with any file, such as a raw disk image.
- | grep -abE --colour=auto (((:[0-9]{16,16}|Visited):[[:space:]])|Cookie:).+@ finds the Internet Explorer cookie and history index.dat data that contains user names. The The hits are in color to help them stand out and the results can be redirected to a text file by appending the command with "> grep.results.txt". Broken down further:
- grep -abE : a=treat binary as text; b=show byte offset; E=treat as extended regular expression
- --colour=auto : show regex matches in color
- (((:[0-9]{16,16}|Visited):[[:space:]])|Cookie:).+@ : Match expressions ":<16>:
@" or "Visited: @" or "Cookie: @" where is any name of one character or more.
254468840::2007052620070527: user@:Host: cis.cuesta.edu
286125672:Cookie:user@www.ibm.com/rc
161464680:Visited: user@http://encarta.msn.com/proscribed.html
The rest of the story
I analyzed the hits and observed user names inconsistent with those in the Vista /USERS directory. Further examination of the new user names showed they existed previous to the current user account (as determined from the index.dat date code), and urls for the users MySpace page. The newly discovered user was contacted through his MySpace page and identified the computer as stolen in June, 2007.
This a simplified discussion of the full process, which included examining the file system to determine existing users using The Sleuthkit. The purpose of the article is to demonstrate how grep can be used from a boot CD or USB device to locate Windows artifacts that show deleted accounts that can be used to identify the account holders.
In this case. the hard disk drive being examined was never mounted. Grep searches can be directed against unallocated sectors through a similar process which I will discuss at a later time.
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Using Robotium to test Android Toggle Buttons
Using Robotium to test Android Toggle Buttons
Robotium supports various APIs to test Android Toggle Button functionality
the following are some of the APIs supported by Robotium to test the Toggle Buttons
Let us write a test case for the Example project shown on the Right side, which has one toggle buttonthe following are some of the APIs supported by Robotium to test the Toggle Buttons
- searchToggleButton(String text)
- clickOnToggleButton(String name)
- isToggleButtonChecked(int index)
- isToggleButtonChecked(String text)
Test case for testing Toggle Button :
Steps:- Search for the Toggle Button
- Assert True/False based on the search result
- Click on the Toggle Button
- Check if Toggle Button status is changed or not?
- Click on the Toggle Button again
- Check whether the Toggle Button status is changed or not?
1: public void testToggleButton() throws Exception {
2: solo.waitForActivity("MainActivity");
3: 4: //search for toggle button
5: actual = solo.searchToggleButton("OFF");
6: assertEquals("Toggle Button not found",true, actual);
7: 8: //Turn ON toggle button
9: solo.clickOnToggleButton("OFF");
10: actual = solo.isToggleButtonChecked(0);11: assertEquals("Toggle Button is OFF",true, actual);
12: 13: //Turn OFF toggle button
14: solo.clickOnToggleButton("ON");
15: actual = solo.isToggleButtonChecked(0);16: assertEquals("Toggle Button is ON",false, actual);
17: 18: }- Search for Toggle Button : �solo.searchToggleButton()� is used to search for toggle buttons in the current activity
- the functions returns �true� if the Toggle Button with the given string is found otherwise return �false�
- Click on the Toggle Button : �solo.clickOnToggleButton()� is used to click on Toggle Button with the given string
- on enabling the Toggle Button, it�s text is changed from �OFF� to �ON�. hence, second time we modified the search pattern to �ON�
- Check the Status of Toggle Button : �isToggleButtonChecked()� is used to check the status of Toggle Button
- argument passed can be a String or Index
- returns true if the toggle button is checked, otherwise, return false.
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Tested File for Nokia Asha 501 Using Cyclone Box
Tested File for Nokia Asha 501 Using Cyclone Box
99.2 x 58 x 12.1 mm
Dual SIM (Micro-SIM, dual stand-by)
3.0 inches (~48.4% screen-to-body ratio) 240 x 320 pixels
Up to 2 fingers OS Nokia Asha software platform 1.0
Upgradable to v1.4 micro SD up to 32 GB, 4 GB card included 128 MB
64 MB RAM Primary 3.15 MP, 2048 x 1536 pixels.
Flashing Completed!
Success!
Nokia Asha 501 Tested File
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Wednesday, September 13, 2017
Free Download Facebook Videos Without Using Any Software
Free Download Facebook Videos Without Using Any Software
Hey guys, we all use social media to express ouerselves to others and to meet new friends. Facebook is the most popular social media website of this generation, we all use facebook to chat, upload photos, videos, updating status etc. As for uploading videos what if you want to download a video from facebook but dont know how to download it, so here is the solution for all of those who wants to download videos from facebook. Below are few easy steps that will guide you to download fb videos without using any software. So Lets get started..
Steps:
- Right click on video while its playing and click show video url.
- Copy generated video URL.In my case, it is https://www.facebook.com/xyzz/videos/651573224985442/
- Replace www to touch or m in the URL and open in new tab (or existing one).Old URL: https://www.facebook.com/xyzz/videos/651573224985442/New URL: https://touch.facebook.com/xyzz/videos/651573224985442/
or
New URL: https://m.facebook.com/xyzz/videos/651573224985442/Note: You can use either touch or m both will do the same. They will convert your facbook desktop view to mobile view.
- Now play the video.
- Right click on video, while its playing.
- Click on Save Video As to save the video.
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Unlocking Samsung T599n using Z3X Box
Unlocking Samsung T599n using Z3X Box
5 MP, 2592 ? 1944 pixels, autofocus, LED flash, Android OS, v4.1.2 (Jelly Bean), 1 GHz dual-core Cortex-A9, 4 GB, 1 GB RAM and micro SD up to 32 GB.
Root first using King Root USB debugging must on then after root open Z3X software select the model and hit Unlock.
Done
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