Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105B38833411875274077C6D530A55B3BE2E68A8FFA970A014EECD7FA2BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:wmaOLz4NP/y9svbliCdnuKCUUcu5FtWAuCa2nX2ZP4:9aAmAQfCUUcuQ4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c70b953af12abd0a |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
c8c8c0c0c8c4e198 |
|
VISUAL
wHash
|
003870f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,49c8c0c0c8c9c4e0 |
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)