Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2E2F3B10217251FEF638AC5EB4A6F5CA18B935AC3524C88FBE54367DE8DE24BC2D510 |
|
CONTENT
ssdeep
|
768:JiWapV6F9lKnouoDAg+Y1in1tEGD5wlc6kCOv7NITaTtk6aDylb8FvGwLhVd34gg:CouBQ9BZqF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b75acca891d2c62b |
|
VISUAL
aHash
|
ff00000000f7ffff |
|
VISUAL
dHash
|
3636ccccde06008a |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
06007000040 |
|
VISUAL
cropResistant
|
0200003732689616,cce89bce160c0e8a,3c9cc4ccec9acf66,26861e29212f2c3d |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.