Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6A38A33411875274437C6D530A55B3BE2A6DA4FFAE70A010EECD7EA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
1536:R9Lz4NP/y9svbliCdIaENX4FtiuCa28y2O9:XmA/aElr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd39b969 |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
ccccc8c0cccc0d98 |
|
VISUAL
wHash
|
0cfe60381c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c3cdcdc7c3c2,09009081303080a0,9cccc8d0c8cccc0d |
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)