Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197A36833411935274437C6D530B55B3BE2A68A5FFAA70A010EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:+memTjXLz4NP3+mZY9svblTOCVrhFkgW6bXksL:TLz4NP/y9svbliCdUEXN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2d739782d61c1e1 |
|
VISUAL
aHash
|
00ec7e7060fe6401 |
|
VISUAL
dHash
|
1a2cccccc8cccd83 |
|
VISUAL
wHash
|
888efe7460fee501 |
|
VISUAL
colorHash
|
30038000400 |
|
VISUAL
cropResistant
|
1a2cccccc8cccd83 |
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.