Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBA37833411875274037C6D530A95B3BE2E68A4FFAA70A014EECD7FA5BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:08ScsLz4NP/y9svbliCdroixIsSTuGFtWAuCa2nX2ZP4:tScymAIo+XSTud4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c32b953af42ebc0a |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
48c8c0c0c8c4e198 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
4800400058588090,69c8c0c0c8c9c4e0 |
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.
Pages with identical visual appearance (based on perceptual hash)