Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAC29671F1102A3B42A7C3D9B751F71EE2E38249DA46090D93FD835D1BE7E50EA2352A |
|
CONTENT
ssdeep
|
768:2Szy5NWyFNzdDUFd3Lu1j/eL87sOy2+y9BH4c1Ie:Sja3S1jGo7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361d53a9e1eb8c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3eccdc9c500 |
|
VISUAL
wHash
|
60f370342001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8c3c3c2cdcd99ca |
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.