Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3234B726332B47883DFA1DDF7382A16B2D2958EF9C74690B5C95A8E13C3C8061977B4 |
|
CONTENT
ssdeep
|
1536:ah+EsZ/8exbOyDawQMIBlwYMIB7wZUXx+y9dQyDF1ZAU84HaXwI:au+dwIwcUUXxpDzHy7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936cec6c31c66cc6 |
|
VISUAL
aHash
|
003c3c3c2c003c3c |
|
VISUAL
dHash
|
bb696959d9716969 |
|
VISUAL
wHash
|
5b3c3c3c3c383c3c |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
00080c0800ebe9f1,a02543644f5f5d5c,a2258c6343ac605d,f1696959d9716969 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.