Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198C28671E014273B02A7C2D97361BB2FA2E3824DC68A151553FD836D0BE7E50AD3756A |
|
CONTENT
ssdeep
|
384:oe4xZ1r4tKNPg5xyLwjOcpD36f573u2al0BIYsOy2+y9BH4cUUIe:oe4xnpinHpLO7e2aE7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039438bc3cf5e3 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9c8e4c8c8c800 |
|
VISUAL
wHash
|
067c6c302060ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
0880880458988000,dcc9c8ccc0c8c8c8 |
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.