Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165B37933411875274437C6D530A55B3BE2E69A4FFAD70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:vvLz4NP/y9svbliCd7cHjvKqFtiuCa28y2O9:rmAc+jvK5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361ed36bd699041 |
|
VISUAL
aHash
|
00002000040470ff |
|
VISUAL
dHash
|
98ccc4caccccc398 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04699696868e2000,d004800158588090,9888c4c0e8ccccc3 |
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.
Pages with identical visual appearance (based on perceptual hash)