Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDA38A33411875274437C6D530A55B3BE2A6D98FFAE70A010EECD7EA1BFAC90B45B11A |
|
CONTENT
ssdeep
|
1536:ipLz4NP/y9svbliCdf5GY+PFtiuCa28y2O9:+mAk9+U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f532cd39b069 |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
dccc48c0cccc0db4 |
|
VISUAL
wHash
|
0cfc30383c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c3cdcdc7c3c2,09009081303080a0,dccc48c0c8cc0c0d |
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.