Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9931BB52346663F104383F4D318E62AB395DA4DD7338D42E7E88327E5DACE89D284B5 |
|
CONTENT
ssdeep
|
768:nM7CW1yaOeed2GtiShQCR9uu6iCuOZzV7CW1yaOeed2GtiShQCR9uu6iCuOZzDKQ:Q9jKl0Igp0HrRUbKCO7f70IOp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb939f9fdfffffff |
|
VISUAL
dHash
|
cb2e3531b165304d |
|
VISUAL
wHash
|
00001c1c5c3cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3531b165304d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)