Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194A37933411875274437C6D530A95B3BE2E68A4FFAA70A014EECD7FA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:yxiiLz4NP/y9svbliCdFwXkUAuxFtWAuCa2OX2ZP4:iiMmAowXkUAuP4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7439d3ab038e533 |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
48c0c0c8c8c4d3ac |
|
VISUAL
wHash
|
007860706c70ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
000000012c2c8088,48e0c0c0c8c8c492 |
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.