Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7219EBA4401DD1321A2C4E9B5F2A26B27F2818DC8464BC997E8D38E7DE5CD9E917150 |
|
CONTENT
ssdeep
|
24:h35H5eMcqQP3c7imLFeUs1Ux+RTSyRXwTSyoXxTSy3XX:3Hs07LLIlUxETuTcTb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88ac701c279d753f |
|
VISUAL
aHash
|
5a595b3919981c40 |
|
VISUAL
dHash
|
9695b7a32333b09d |
|
VISUAL
wHash
|
d25d591b19997e60 |
|
VISUAL
colorHash
|
31401008040 |
|
VISUAL
cropResistant
|
9695b7a32333b09d |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.