Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB328613E674A23F029306E5B4B7B7D66773E019E3461880E7EC02CC0BD6DDA5A6718E |
|
CONTENT
ssdeep
|
192:e9Ay/4MJQfEnGtTckkImrRvOYNbJeFyvAd6dkeTzy+5ivB3047yR9/J:e+OJRqjkImFvtNE4JdkSzy+AvB3huR9B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac96b3866d9c6332 |
|
VISUAL
aHash
|
ffffcfd3d3ffdfc1 |
|
VISUAL
dHash
|
67999fb717e33c8f |
|
VISUAL
wHash
|
bfcf0301017b9fc1 |
|
VISUAL
colorHash
|
060020001c0 |
|
VISUAL
cropResistant
|
67999fb717e33c8f,1f5fbfbffdfcffde,59598b2766abe5e4,572f2dec8d924949 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)