Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA73E78E64842029473340E348BB1B99B7791C3FF52545E1A5B8C7E6B3D88F63176B8B |
|
CONTENT
ssdeep
|
768:zyWu/PNwWyuv5T9H+G/11QsDZ/u5HdX8UFdISoiIB9KfyneIBG2uv/eDaZj/mFNT:msQpsLhyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8818d660e1f636ef |
|
VISUAL
aHash
|
7e1f0f0f0100ffff |
|
VISUAL
dHash
|
bcf1fdd7d3dd3947 |
|
VISUAL
wHash
|
7e0d0f030100ffff |
|
VISUAL
colorHash
|
07608010000 |
|
VISUAL
cropResistant
|
bcf073fdddd3cbdd,fca28aa63392a294,a282d04b1351aaa2,39027d2f3f514040,fcf17dfdd7d3cfbd,45451b98e46b4523 |
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 702 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)