Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148134A726332B87843DB91EEE7382946B2D6589DF8C74414F5C95ACE23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aK+EsZx8/G8pX4RDawr7MLB3wqMLBlUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvM:aK+EsZ/8uRDawr7MLB3wqMLBlUXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e62e196d36326c2e |
|
VISUAL
aHash
|
01f9e7e7a3f3ffff |
|
VISUAL
dHash
|
47232f2d6e161c02 |
|
VISUAL
wHash
|
00f18183a3f3c3ff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
47232f2d6e161c02,0142ba82a21a4200,8585918585f1b195 |
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.
Pages with identical visual appearance (based on perceptual hash)