Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5B2967160505A375287C2D5E3B06B4F73CAD30ACA134ADA73F883996FC6C80DDA6679 |
|
CONTENT
ssdeep
|
768:ZenoOmmeOmmj9SzDaCaQasa+aNaY72AsiOQjIKF:InB9SytLvxoY72ATOQjIKF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98659374a2dd8e71 |
|
VISUAL
aHash
|
02001818003c3c3d |
|
VISUAL
dHash
|
d40070b000617071 |
|
VISUAL
wHash
|
7e003c3c183c3e7f |
|
VISUAL
colorHash
|
38200010080 |
|
VISUAL
cropResistant
|
7c74676363e346ec,d40070b000617071 |
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 337 techniques to evade detection by security scanners and make reverse engineering more difficult.