Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FD2A371A1402B3F11A7D3C9B361B73EA2D3834DDA4A090A52FC9B4E4BE7E50DE13526 |
|
CONTENT
ssdeep
|
768:HASy5NEf5a00tEbRbT7sOy2+y9BH4crIe:HD5aY7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1ac56f962c38b2 |
|
VISUAL
aHash
|
38008f9fffd1f3fe |
|
VISUAL
dHash
|
62b63c3d0c2323d0 |
|
VISUAL
wHash
|
10108787cff1c3fe |
|
VISUAL
colorHash
|
07000c00008 |
|
VISUAL
cropResistant
|
62b63c3d0c2323d0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.