Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B174A6B9824512B2568BDBD5F8B25B1A37D3525FEA434B5893F887E0BFD2DC2E421C10 |
|
CONTENT
ssdeep
|
3072:i9dRR1IlVnTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1DA:kRqlV27jDw/47g7/tg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e3131ceca6fce30 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
aa9c68696969690d |
|
VISUAL
wHash
|
001e7e7f7ffc0500 |
|
VISUAL
colorHash
|
39001000c00 |
|
VISUAL
cropResistant
|
8d9983e6a6a686a6,aa9c68696969690d |
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 598 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)