Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T102A38A33411875274437C6D130A55B3BD2E69A5FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:SSkZjtGLz4NP3+mZY9svblTOCVron5ZBOkDFtiuCa28y2OZL:IGLz4NP/y9svbliCdctFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362bd29ed02c716 |
|
VISUAL
aHash
|
00002420000004ff |
|
VISUAL
dHash
|
cc94ccc8d0c0cc9c |
|
VISUAL
wHash
|
00007e7c3038ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
0400a081303080a0,cc12ccccc0c0c0cc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.