Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB63D58A6452602A073340E348BB1B99737D1C2FF92905A195BCCBE673DDCB1316BB5B |
|
CONTENT
ssdeep
|
768:OyWujPyuMX9XX8U6X7D0sS3U8piGsVrjJpte4XUOH4AW7/Qm1BIEtF8gdqG+m8oD:dCEZyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1ce31cf61c96c38 |
|
VISUAL
aHash
|
c3cfcfefc7ffcfc7 |
|
VISUAL
dHash
|
129e9a1e16069a9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07600000c00 |
|
VISUAL
cropResistant
|
129e9a1e16069a9e,0000047871712904,9f1b60f4d6b64c46 |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.