Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182B1E730B010BE3F5A17CAF8B3E4B245918DE348C63F6499F9A9137522D6D95CA33598 |
|
CONTENT
ssdeep
|
96:TGv6xFYBZun7J614lVF8b9F8biXrCDZkVkAYkOmqxK55eq/:avGKBZun7hlVk9kimlcE0j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6181c674d49775c |
|
VISUAL
aHash
|
00dfc7e7e7e7ffff |
|
VISUAL
dHash
|
7c3d0d4d4c4db028 |
|
VISUAL
wHash
|
000584e700e7ffff |
|
VISUAL
colorHash
|
06008000c00 |
|
VISUAL
cropResistant
|
b11d4dcd4c4d322c,e2989a9e9e9a80a2,0c0c0c0c0c4c0822,31684868d4646192,a2e0aa7111826169 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)