Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E73B632D2561403906BC5C9F1624B5A33918689C7134BB577FC27BAFECECB57B22288 |
|
CONTENT
ssdeep
|
1536:yirOxIwJX+XPUgOq6Vytf1+2Wa5w7SyFoeKyxez6ISU2NHHz3MWpcDTbueevIrWm:BOfOXPUgOq6woDnNXMqoOhk222I2222r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9263ecc33938cc6 |
|
VISUAL
aHash
|
c381fbcbebfbfbc3 |
|
VISUAL
dHash
|
0b27d2dadab2f29a |
|
VISUAL
wHash
|
018178cbeb58fbc3 |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
0b27d2dadab2f29a,6448b6f415152d29,4b433198d8d08d4d,6f2b392b2b3323c8,9793e31ce0e080c0,656caca785842467 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)