Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F7C2C73160106A3B0293D3D9B372A72BA2E3528AE757051152FD83AD4FF3D54EF2751A |
|
CONTENT
ssdeep
|
384:zSby5Nqv+IwWxI4po/vNprBCEsX1BqHM7vBtHIYsOy2+y9BH4cUUIe:zSby5NqvflUNOXyc57sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32e93c90e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9cccc4e8c8cc3c00 |
|
VISUAL
wHash
|
40f66820600effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,9cccc4c8e8c9cc3c |
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.
Pages with identical visual appearance (based on perceptual hash)