Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DD2A633B010263B129783CA7771F31FE6E29249EA86090653FC875D4BD7E95DE2352A |
|
CONTENT
ssdeep
|
768:leFy5NxJoeJqEc+hWrweyrhmva7sOy2+y9BH4c1Ie:3/JU+hGRyroi7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43e9c0db1c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9ccdc3e3cd8cc100 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c200c00258d88000,dccdcbc3cbcdacd0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.