Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137735432D3531903A07BD1D8B072478D2251868DC7534B79A7BE63BAF9CEDB63612398 |
|
CONTENT
ssdeep
|
1536:Qq3cI3cBYVFgK0eGeACzyzEf0Q57rl4pTMMHfexAyreecdeeeYdZRS92snHK4rNj:v3cI3ccp57rl4pH02kqZaWq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b76dc932b08887cd |
|
VISUAL
aHash
|
c300b0cfc706ffef |
|
VISUAL
dHash
|
2b66660c0c4c4c4c |
|
VISUAL
wHash
|
c30090c7c706ffe7 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
2b66660c0c4c4c4c,3836cdce3451c3c5,33b33329b4f4342e,192a67d6f8e8f161,939393133327292b |
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)