Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C152E9BFE182036B5DE086C1F20B27FF679555CDB2451648BDEBD3AC8E8591F80329A1 |
|
CONTENT
ssdeep
|
384:ytZL6iikqLviib/iiPiiVwii/iiiJHiigMiiPdoii7iiM3A:Oil2i2iKiVfi6iMCigziP5i+id |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e49b4c33674e1966 |
|
VISUAL
aHash
|
00ffffe7c3c3c3c3 |
|
VISUAL
dHash
|
e89c948e8e8e8696 |
|
VISUAL
wHash
|
00dfc7c3c3c3c3c3 |
|
VISUAL
colorHash
|
06600030000 |
|
VISUAL
cropResistant
|
b89c9c8e8e8e8696,a3c3868ac9c7c7c6,000024e8e8e86410,06975656d7d2cce8 |
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 190 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain