Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2D392D55618038CA147897CFF2FFE05131FB1AABA554A80299EC26C96CF8D2FB1752C |
|
CONTENT
ssdeep
|
3072:z0RQ7HQgWVmxXAkgc1ztsLDG45WTdH4RpFz:JWVmxXAkgc1ztsLDG452dH4R7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ced1a2d5a8f4a8f0 |
|
VISUAL
aHash
|
ff18383038301031 |
|
VISUAL
dHash
|
7060606060616061 |
|
VISUAL
wHash
|
ff3c3c3838383839 |
|
VISUAL
colorHash
|
381c0000000 |
|
VISUAL
cropResistant
|
0000000000000000,7068606060616061 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.