Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119A38A33411875274437C6D130B55B3BE2A6D95FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:/4487ilVsANUGAXLSdSylfvt/1ajaJw7tLz4NP/y9svbliCdfif2hGkZFtiuCa25:cmAHfxka |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9243f712cd38b969 |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
ccccd8c0cccc0d98 |
|
VISUAL
wHash
|
0efe60181c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c3cdcdc3c3c2,09009081303080a0,dcccc8d8c8cccc0d |
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)