Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F27200347043346B6A3BC5E0F8BA5B2965D7D334C2590A5EE3692BA96FCF8D44C32364 |
|
CONTENT
ssdeep
|
384:+nKMUCkLYZ5LffyLfw/LfPJLfE4rCtTzhBeC3L:BM0YZ5LffyLfw/LfPJLfE4rCtTzhBeCb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3338ec666668999 |
|
VISUAL
aHash
|
e7e7e7e7e7ffffff |
|
VISUAL
dHash
|
4d4d4d4d4d000c4c |
|
VISUAL
wHash
|
c3c3c3c3c3e7e700 |
|
VISUAL
colorHash
|
06400040041 |
|
VISUAL
cropResistant
|
4d4d4d4d4d000c4c,1e0c6e4b3f372763,ccececdcccd4d4f4,936963f2b232ce32 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)