Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A729361D084AA39039781D4F7726ADFB7618284D7060F9853F8933FBACAEE1C43259D |
|
CONTENT
ssdeep
|
192:DWTlkzYhhU6Q8ieRW0uZBHx2tHx6eWEucD+yVCcRZSZ1Y3JVfI98lPkT/GseU6QT:q4GU91eRW0uzx2t/uciNT/GsSpH8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b176ca9b81e660da |
|
VISUAL
aHash
|
ff0000020000ffff |
|
VISUAL
dHash
|
4e998a8a9a9a29d6 |
|
VISUAL
wHash
|
ff0040020a4effff |
|
VISUAL
colorHash
|
33c00008040 |
|
VISUAL
cropResistant
|
000c4c0c0d080c0c,ec8e99ada8b13133,9e78e1c3c6c6c2f8,52180c028e2ed6d6,42888a8a9ada9a9a |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.