Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1139432A0807437411B9FE6B865EB1E77E3C30DDA530419A6FCC7C62FE6D90CA1656A |
|
CONTENT
ssdeep
|
768:J7IIbGgQr99ggQvckBcQszYU6t/B6FhZzwagQLVPNCM5AMe3OD1gQ/MJke7UIeYJ:J7IIGLwszR6t/IFIyPNCcaFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9361ea983d159c6e |
|
VISUAL
aHash
|
0000000207ffffff |
|
VISUAL
dHash
|
98c9e8dadef8fcf3 |
|
VISUAL
wHash
|
0040000e0fffffff |
|
VISUAL
colorHash
|
182000c0001 |
|
VISUAL
cropResistant
|
341cf1f8f0f8cbf0,98c9e8dadef8fcf3,414d713333454541 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)