Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C523131440C4E3EE287D2E5FB747B2B6296C247CB5A5718D2F8433D0ECAD9ADD2A164 |
|
CONTENT
ssdeep
|
192:4igY+Zz+BlCYZariK4ZZodmd3+Mo3oNd/CgeElFmfszcow:VlCeaOK4ZZode3+Mo3wl4szcV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f28dc87623d8ad62 |
|
VISUAL
aHash
|
ffffffffe7e77c00 |
|
VISUAL
dHash
|
000848104d4cb48c |
|
VISUAL
wHash
|
3f2f2727c4c40000 |
|
VISUAL
colorHash
|
070002001c0 |
|
VISUAL
cropResistant
|
000848104d4cb48c |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.