Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8D26572A0407E3B029393D97321F72ED2D3D28ADB5A091652F8875E4FD7E90CE1355A |
|
CONTENT
ssdeep
|
768:89y5Nbiu+1v569HBPia7sOy2+y9BH4crIe:subB7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc18cfe3c36c922c |
|
VISUAL
aHash
|
ff080e0e4fcff3fe |
|
VISUAL
dHash
|
2331343c9c2d23d0 |
|
VISUAL
wHash
|
b908040e4fc7f1fe |
|
VISUAL
colorHash
|
07038000400 |
|
VISUAL
cropResistant
|
2331343c9c2d23d0 |
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.