Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C953747152817A3B154342D29B28936FB3D3E60DCB7259D7EBEC831A6287DA4FC27124 |
|
CONTENT
ssdeep
|
1536:e0fVfN3IIyt26uQ68c6Qy6h/6Eujxxm/r83dDNmc3iud:F9F4Ia26uQ68c6Qy6h/6E7Id |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ec2c3e9e89269 |
|
VISUAL
aHash
|
ff1e8e9b8bff9f8f |
|
VISUAL
dHash
|
493c3c33133a3532 |
|
VISUAL
wHash
|
fd0e0e01898f8f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
493c3c33133a3532 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)