Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9B111202414ED1200EF6DE9A6B25A6E51F98345E5760788F8A7C3F857D3C2ECAB3191 |
|
CONTENT
ssdeep
|
48:bCGgiEtq72q7EOXvfzTM6QYCD5I/UtuMIzAOCzet1MfafJGEpzlXLBKKvUNAbOQ+:2GvEtBAX33M6zCDRtDehrRRBKASb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1efc6ccc4c4dcc0 |
|
VISUAL
aHash
|
ff8f0f0f0f0f0f0f |
|
VISUAL
dHash
|
585b1b9b1b1bdada |
|
VISUAL
wHash
|
de0f0f0f090f0f0f |
|
VISUAL
colorHash
|
07c40000400 |
|
VISUAL
cropResistant
|
585b1b9b1b1bdada,a280802b2bda80a2,9892b2b385cfe1e0,c721c0c20929890f,5b7672da6f6cfcbb |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)