Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132A37A33411875274437C6D530B55B3BE2A6DA4FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:4c/Lz4NP/y9svbliCdksKiucaJFtiuCa28y2O9:LjmA3sjuDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926bed128d6d9613 |
|
VISUAL
aHash
|
00800000040400ff |
|
VISUAL
dHash
|
0d094b43cd0c33b0 |
|
VISUAL
wHash
|
c0efe7012c0e18ff |
|
VISUAL
colorHash
|
31400038000 |
|
VISUAL
cropResistant
|
fefeff9797fffefe,2000a08138308090,0d094b4b43cc0c33 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)