Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DA38A33411875274437C6D430A95B3BE2E68A4FFAA70A414EECD7FA1BFAC50B45B11A |
|
CONTENT
ssdeep
|
1536:gYcbCF1Mgt0mg3Ly9ySF/PNfV6D6pQbzW1Lz4NP/y9svbliCdXtitu5FtWAuCa24:CWtmA6tituP4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c742bd3ab139c52a |
|
VISUAL
aHash
|
00202000000000ff |
|
VISUAL
dHash
|
48e0e4c8c8e4d388 |
|
VISUAL
wHash
|
007870706c30ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
000000010c2c8088,09e0e4c0c8c8c4d2 |
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.