Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC022FE1C558EE3A435291D4FBB53B4B77D2C349CB07094093F883ABABCAC60CA1559D |
|
CONTENT
ssdeep
|
96:TkC/4z8h7MSfuSTNtViDwytr7Y+3wvFOexXaHFXeZXCX/VQtO7yt7u6jGR:QO4z8hhjhjiDwyJ7deEAcXmg7yASc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46c9b9b64c3646c |
|
VISUAL
aHash
|
fffff3f3f3f3ffff |
|
VISUAL
dHash
|
0018262626060006 |
|
VISUAL
wHash
|
00cfc3c300003c3c |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
0018262626060006,fef831fce869defe |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 63 techniques to evade detection by security scanners and make reverse engineering more difficult.