Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169E20973E654A533268352D4B18276C9E1AE901DAB51CCF0FAAC06EDF3D3CB645326A1 |
|
CONTENT
ssdeep
|
768:gIamKC66KAiW26kuhS5Wa8J4rrioT/J0F0EU6VhIamKC66KjGfkiYQlnM011zCdL:rlHyfk0JpI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2436ced3c4913b6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94c9c9d92f1a272f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
07600008000 |
|
VISUAL
cropResistant
|
9c9cbcbcb8b29098,2c2f333b2f232f2f,c44229c9c9e9d9d4 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)