Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACD2B73160047A3F41D7D2CD7362A33BA2A7824BE75A095692FD83BD4BE3D94CA37116 |
|
CONTENT
ssdeep
|
768:+Sby5NiU7sv8LY+DhH7sOy2+y9BH4c1Ie:SdYgV7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361fc12cd1c91e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
9ccccce8c8cc3c00 |
|
VISUAL
wHash
|
40fe6800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d715596,1080800458988000,94ccccd8c8c9dc3c |
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)