Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171F10CF1D054ED3B071286D9B7B9AB4B7691C749CE07064593F883ABABCAC60CF21199 |
|
CONTENT
ssdeep
|
192:Q7O9vn7D71Tt8iIGwyqs7mbToXyq7kqVEqw:Q6n71ZwE7mPA/Eqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b030cfcec66630cf |
|
VISUAL
aHash
|
cfcfc7c7ffffffff |
|
VISUAL
dHash
|
9c9a9e9d041c0000 |
|
VISUAL
wHash
|
00000000c3ffffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9c9a9e9d041c0000,edb3f1707bfdffff |
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.