Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AA38A33411875274437C6D530A55B3BE2A6994FFAE70A010EECD7FA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:5Sky5NDyrpLz4NP3+mZY9svblTOCVr0Roc5mumZFtiuCa28y2OZL:zdLz4NP/y9svbliCd0FKFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc3cad63c342 |
|
VISUAL
aHash
|
00006000000004ff |
|
VISUAL
dHash
|
96ccc8cae8cccc88 |
|
VISUAL
wHash
|
0064fe703024feff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8011a0815c588090,928cc8cac2c8ccdc |
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.