Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E73837D1246693F104382E1871CE359E386EE0EDBB7198A97ECC35B6786DE4EC250B4 |
|
CONTENT
ssdeep
|
1536:mIyGhnuO/jcRg0LSXsuP0ORo+0jrx5+K85M:qWcNjN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696f0 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
e493ccd0cccc23dc |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4cccc23471c,84ebc193c8c8d4c4,4505696969690149,dbd44d4d98c9c9a0,4145497171514500 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)