Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDA38833411875274437C6D530A95B3BE2E68A4FFAA70A014EECD7FA2BFAC50745B11A |
|
CONTENT
ssdeep
|
1536:z8q8Lz4NP/y9svbliCd8y0ezxuzFtWAuCa2nX2ZP4:gqCmAjy0ezxu+4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c34b953af12cbd0a |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
49e8c0c0c998e5d8 |
|
VISUAL
wHash
|
003c70e0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
c800000058588090,49e8e0c0c9d991e4 |
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.