Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120D28332B150273B229383C57762F31FB2E39249DA8A191552FC87AD4BD7E90DE2351E |
|
CONTENT
ssdeep
|
768:desJGa0VsjwH2ZpYcx4CMrLmJ2mRTr5rpG/2N83ltnPhH8pSukp3hrRFY7sOy2+i:SqjwH2ZpYcx4CMrLmJ2mRTr5rpG/2N8C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d13ab429accd |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dcc9c3cbcc0cc300 |
|
VISUAL
wHash
|
00fdf9210400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200d00130b08000,dccdc3c3cbcc0cd2 |
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.