Skip to content
This repository was archived by the owner on Oct 10, 2022. It is now read-only.

Commit

Permalink
Moved to censornet
Browse files Browse the repository at this point in the history
  • Loading branch information
Steph Locke committed May 31, 2016
1 parent 1fe610b commit 759f342
Show file tree
Hide file tree
Showing 3 changed files with 57 additions and 40 deletions.
4 changes: 2 additions & 2 deletions DESCRIPTION
View file
Original file line number Diff line number Diff line change
Expand Up @@ -26,5 +26,5 @@ Imports:
jsonlite
RoxygenNote: 5.0.1
VignetteBuilder: knitr
URL: https://github.com/stephlocke/HIBPwned
BugReports: https://github.com/stephlocke/HIBPwned/issues
URL: https://github.com/censornet/HIBPwned
BugReports: https://github.com/censornet/HIBPwned/issues
6 changes: 3 additions & 3 deletions README.Rmd
View file
Original file line number Diff line number Diff line change
Expand Up @@ -14,15 +14,15 @@ knitr::opts_chunk$set(
)
```
# HIBPwned
[![Travis-CI Build Status](https://travis-ci.org/stephlocke/HIBPwned.svg?branch=master)](https://travis-ci.org/stephlocke/HIBPwned)
[![Coverage Status](https://img.shields.io/coveralls/stephlocke/HIBPwned.svg)](https://coveralls.io/r/stephlocke/HIBPwned?branch=master)
[![Travis-CI Build Status](https://travis-ci.org/censornet/HIBPwned.svg?branch=master)](https://travis-ci.org/censornet/HIBPwned)
[![Coverage Status](https://img.shields.io/coveralls/censornet/HIBPwned.svg)](https://coveralls.io/r/censornet/HIBPwned?branch=master)

Utilising the [HaveIBeenPwned.com API](https://haveibeenpwned.com/API/v2), check whether email addresses and/or user names have been present in a publicly disclosed data breach.

```{r, results='hide', message=FALSE, warning=FALSE}
if(!require("devtools")) install.packages("devtools")
# Get or upgrade from github
devtools::install_github("stephlocke/HIBPwned")
devtools::install_github("censornet/HIBPwned")
library("HIBPwned")
```

Expand Down
87 changes: 52 additions & 35 deletions README.md
View file
Original file line number Diff line number Diff line change
Expand Up @@ -2,74 +2,88 @@
HIBPwned
========

[![Travis-CI Build Status](https://travis-ci.org/stephlocke/HIBPwned.svg?branch=master)](https://travis-ci.org/stephlocke/HIBPwned) [![Coverage Status](https://img.shields.io/coveralls/stephlocke/HIBPwned.svg)](https://coveralls.io/r/stephlocke/HIBPwned?branch=master)
[![Travis-CI Build Status](https://travis-ci.org/censornet/HIBPwned.svg?branch=master)](https://travis-ci.org/censornet/HIBPwned) [![Coverage Status](https://img.shields.io/coveralls/censornet/HIBPwned.svg)](https://coveralls.io/r/censornet/HIBPwned?branch=master)

Utilising the [HaveIBeenPwned.com API](https://haveibeenpwned.com/API/v2), check whether email addresses and/or user names have been present in a publicly disclosed data breach.

``` r
if(!require("devtools")) install.packages("devtools")
# Get or upgrade from github
devtools::install_github("stephlocke/HIBPwned")
devtools::install_github("censornet/HIBPwned")
library("HIBPwned")
```

``` r
account_breaches("steff.sullivan@gmail.com", truncate=TRUE)
#> $`steff.sullivan@gmail.com`
#> Name
#> 1 Adobe
#> Name
#> 1 Adobe
#> 2 LinkedIn
```

``` r
breached_sites("adobe.com")
#> Title Name Domain BreachDate AddedDate PwnCount
#> 1 Adobe Adobe adobe.com 2013-10-04 2013-12-04T00:00:00Z 152445165
#> Description
#> 1 The big one. In October 2013, 153 million Adobe accounts were breached with each containing an internal ID, username, email, <em>encrypted</em> password and a password hint in plain text. The password cryptography was poorly done and <a href="http://stricture-group.com/files/adobe-top100.txt" target="_blank">many were quickly resolved back to plain text</a>. The unencrypted hints also <a href="http://www.troyhunt.com/2013/11/adobe-credentials-and-serious.html" target="_blank">disclosed much about the passwords</a> adding further to the risk that hundreds of millions of Adobe customers already faced.
#> Description
#> 1 In October 2013, 153 million Adobe accounts were breached with each containing an internal ID, username, email, <em>encrypted</em> password and a password hint in plain text. The password cryptography was poorly done and <a href="http://stricture-group.com/files/adobe-top100.txt" target="_blank">many were quickly resolved back to plain text</a>. The unencrypted hints also <a href="http://www.troyhunt.com/2013/11/adobe-credentials-and-serious.html" target="_blank">disclosed much about the passwords</a> adding further to the risk that hundreds of millions of Adobe customers already faced.
#> DataClasses IsVerified
#> 1 Email addresses, Password hints, Passwords, Usernames TRUE
#> IsSensitive LogoType
#> 1 FALSE svg
#> IsSensitive IsActive IsRetired LogoType
#> 1 FALSE TRUE FALSE svg
```

``` r
breached_site("Adobe")
#> Title Name Domain BreachDate AddedDate PwnCount
#> 1 Adobe Adobe adobe.com 2013-10-04 2013-12-04T00:00:00Z 152445165
#> Description
#> 1 The big one. In October 2013, 153 million Adobe accounts were breached with each containing an internal ID, username, email, <em>encrypted</em> password and a password hint in plain text. The password cryptography was poorly done and <a href="http://stricture-group.com/files/adobe-top100.txt" target="_blank">many were quickly resolved back to plain text</a>. The unencrypted hints also <a href="http://www.troyhunt.com/2013/11/adobe-credentials-and-serious.html" target="_blank">disclosed much about the passwords</a> adding further to the risk that hundreds of millions of Adobe customers already faced.
#> Description
#> 1 In October 2013, 153 million Adobe accounts were breached with each containing an internal ID, username, email, <em>encrypted</em> password and a password hint in plain text. The password cryptography was poorly done and <a href="http://stricture-group.com/files/adobe-top100.txt" target="_blank">many were quickly resolved back to plain text</a>. The unencrypted hints also <a href="http://www.troyhunt.com/2013/11/adobe-credentials-and-serious.html" target="_blank">disclosed much about the passwords</a> adding further to the risk that hundreds of millions of Adobe customers already faced.
#> DataClasses IsVerified
#> 1 Email addresses, Password hints, Passwords, Usernames TRUE
#> IsSensitive LogoType
#> 1 FALSE svg
#> IsSensitive IsActive IsRetired LogoType
#> 1 FALSE TRUE FALSE svg
```

``` r
data_classes()
#> [1] "Account balances" "Age groups"
#> [3] "Avatars" "Career levels"
#> [5] "Credit cards" "Customer interactions"
#> [7] "Dates of birth" "Device usage tracking data"
#> [9] "Education levels" "Email addresses"
#> [11] "Email messages" "Employers"
#> [13] "Ethnicities" "Genders"
#> [15] "Geographic location" "Government issued IDs"
#> [17] "Historical passwords" "Home addresses"
#> [19] "Homepage URLs" "Instant messenger identities"
#> [21] "IP addresses" "Job titles"
#> [23] "MAC addresses" "Names"
#> [25] "Nicknames" "Passport numbers"
#> [27] "Password hints" "Passwords"
#> [29] "Payment histories" "Phone numbers"
#> [31] "Private messages" "Purchases"
#> [33] "Races" "Recovery email addresses"
#> [35] "Relationship statuses" "Reward program balances"
#> [37] "Salutations" "Security questions and answers"
#> [39] "Sexual preferences" "SMS messages"
#> [41] "Social connections" "Spoken languages"
#> [43] "Time zones" "User agent details"
#> [45] "User website URLs" "Usernames"
#> [47] "Website activity" "Years of birth"
#> [3] "Astrological signs" "Avatars"
#> [5] "Bank account numbers" "Banking PINs"
#> [7] "Beauty ratings" "Biometric data"
#> [9] "Car ownership statuses" "Career levels"
#> [11] "Credit cards" "Customer feedback"
#> [13] "Customer interactions" "Dates of birth"
#> [15] "Device usage tracking data" "Drinking habits"
#> [17] "Drug habits" "Education levels"
#> [19] "Email addresses" "Email messages"
#> [21] "Employers" "Ethnicities"
#> [23] "Family members' names" "Family plans"
#> [25] "Financial transactions" "Fitness levels"
#> [27] "Genders" "Geographic locations"
#> [29] "Government issued IDs" "Historical passwords"
#> [31] "Home addresses" "Home ownership statuses"
#> [33] "Homepage URLs" "Income levels"
#> [35] "Instant messenger identities" "IP addresses"
#> [37] "Job titles" "MAC addresses"
#> [39] "Marital statuses" "Names"
#> [41] "Nicknames" "Parenting plans"
#> [43] "Passport numbers" "Password hints"
#> [45] "Passwords" "Payment histories"
#> [47] "Personal descriptions" "Personal interests"
#> [49] "Phone numbers" "Physical attributes"
#> [51] "Political views" "Private messages"
#> [53] "Purchases" "Races"
#> [55] "Recovery email addresses" "Relationship statuses"
#> [57] "Religions" "Reward program balances"
#> [59] "Salutations" "Security questions and answers"
#> [61] "Sexual fetishes" "Sexual orientations"
#> [63] "Smoking habits" "SMS messages"
#> [65] "Social connections" "Spoken languages"
#> [67] "Time zones" "Travel habits"
#> [69] "User agent details" "User website URLs"
#> [71] "Usernames" "Website activity"
#> [73] "Work habits" "Years of birth"
```

``` r
Expand All @@ -92,6 +106,7 @@ pastes("foo@bar.com")
#> 14 Pastebin C4GdBDnP
#> 15 AdHocUrl http://siph0n.in/exploits.php?id=4364
#> 16 AdHocUrl http://siph0n.in/exploits.php?id=1154
#> 17 AdHocUrl http://siph0n.in/exploits.php?id=4737
#> Title
#> 1 <NA>
#> 2 Twitter
Expand All @@ -109,6 +124,7 @@ pastes("foo@bar.com")
#> 14 #secuinside13 logs
#> 15 siph0n.in
#> 16 siph0n.in
#> 17 PayPalSucks Database 102k
#> Date EmailCount
#> 1 2016-01-25T16:54:32Z 22
#> 2 2015-12-12T15:52:27Z 90
Expand All @@ -126,6 +142,7 @@ pastes("foo@bar.com")
#> 14 2013-05-26T22:05:00Z 255
#> 15 <NA> 89270
#> 16 <NA> 1595
#> 17 <NA> 82071
```

------------------------------------------------------------------------
Expand Down

0 comments on commit 759f342

Please sign in to comment.