Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E52AB737005612B1293D3C2BA237B2DE79186C7FA820945A2F44B1D6FE2FE4D95163B |
|
CONTENT
ssdeep
|
192:P49uKuvu7f5C6t0+kjtvy6b7tk9jXwIPJpk8a4uLWvo7jbJxLx0oddk:w9vYsfGZNCxNpTa4a7jbJxLKodq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c383be9acac3c29a |
|
VISUAL
aHash
|
ff00626204400000 |
|
VISUAL
dHash
|
490ecacadc9c8cc0 |
|
VISUAL
wHash
|
ff066f6f6e6e0000 |
|
VISUAL
colorHash
|
30c00010000 |
|
VISUAL
cropResistant
|
4009614949610106,3ccecacadc9c2cd4 |
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 937 techniques to evade detection by security scanners and make reverse engineering more difficult.