Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E3201342043786BA53795C1F4B28B1D6A6BC335CA590EBCB37926A1BBCDCE44832774 |
|
CONTENT
ssdeep
|
192:l2hbbcgSIKD9Z4ISt5vErEFKBLfRXLfRPLfRMLfRtLfRSM/rUfYNqyTzhBeC3L:clz+b4tFKBLfRXLfRPLfRMLfRtLfRSsl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8959590f66e6a6a6 |
|
VISUAL
aHash
|
00007f0107ffffff |
|
VISUAL
dHash
|
d393b24defffe000 |
|
VISUAL
wHash
|
00003e0007ffffff |
|
VISUAL
colorHash
|
06003000180 |
|
VISUAL
cropResistant
|
d3b2ad6fffffe000,cdf39253d3b3d292,4100101010101000 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)