Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA64F8F8835413B2968B8BD4F8B15B1A3797529EEA824748D3E48AE0FFE2DC5D435C11 |
|
CONTENT
ssdeep
|
3072:iKDz228BePXTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Dw:BTPG7jDw/47g7/tQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e6131ceca2dcf31 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
8a70696969696905 |
|
VISUAL
wHash
|
003c7e7f7ffc0500 |
|
VISUAL
colorHash
|
39001000c00 |
|
VISUAL
cropResistant
|
8d9983e6a6a686a6,8a70696969696905 |
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 523 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)