Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F17343765142AA3F108342E19328E799E3C2E60AC7A7994B97EC432F27D7DE0DD36174 |
|
CONTENT
ssdeep
|
1536:s52OGbWDcG60V4sz29nyF0WNG+x/6C0kxVuz8pl:W1k1W/6Gl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d696b8 |
|
VISUAL
aHash
|
00003c7e7efff1ff |
|
VISUAL
dHash
|
ec93ccd0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
ccc8d4cccc23628e,84abf193c8c8dcd4,4561417971690141,17496969696995a5,00454d7171414541,12adec2289b6a701 |
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)