Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEF27331A255AE3B80A7D2E9E3A5632B22D69389C943034583FC837D0FFBD94FD26554 |
|
CONTENT
ssdeep
|
768:+arxiwp2IrRSnqUwoAMlwvTSLH68Zxh13hZ:Np2IrU96MxTv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ebac5ea932a61a2 |
|
VISUAL
aHash
|
fd1f0c0c9cf0f0fe |
|
VISUAL
dHash
|
3b7539392d636324 |
|
VISUAL
wHash
|
bd1f0c0c0cf0f0fe |
|
VISUAL
colorHash
|
070010000c1 |
|
VISUAL
cropResistant
|
3b7539392d636324 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)