Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CF12160E24571770163D1C6F7926FBBB2C1809ED642173152FC9B9E8BEBC40DA39E24 |
|
CONTENT
ssdeep
|
96:c6cmSdZSyzjLnkdoiZlsi3gsdITy5y/aDESIp4D9dUd4R:xcJuDVwseiyCKmpJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b6cb320a89b66b9 |
|
VISUAL
aHash
|
bd181838182c3c3c |
|
VISUAL
dHash
|
6160606030697979 |
|
VISUAL
wHash
|
ff3c183c183c3c3c |
|
VISUAL
colorHash
|
30003000180 |
|
VISUAL
cropResistant
|
6160606030697979 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.