Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118A38A33411875274437C6D530A95B3BE2E68A8FFAA70A014EECD7FA1BFAC50745B11A |
|
CONTENT
ssdeep
|
1536:4psgLz4NP/y9svbliCdnkcjUJu6FtWAuCa23X2ZP4:osemA+kcjUJu14 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c74b953ab138d44e |
|
VISUAL
aHash
|
00302000000070ff |
|
VISUAL
dHash
|
49e0e0c8c9c0c3c8 |
|
VISUAL
wHash
|
003870707c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c500400018588080,09c0e0c0c8c9c1c4 |
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.