Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBF28431A151AE3B84A7D2E9E3B5632B22D6938AC943034583FC837D0FEBD94FD26554 |
|
CONTENT
ssdeep
|
768:Darxi2p2IrRZnqUwoAMlwvTSLH68Zng13hT:Sp2IrL96MnoF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ebac5ea932a61a2 |
|
VISUAL
aHash
|
fd1f0c0c9cf0f0fe |
|
VISUAL
dHash
|
3b7539392d636324 |
|
VISUAL
wHash
|
fd1f0c0c0cb0f0fe |
|
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)