Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DF2847172651A7E718783F8B3617B7E619DD386DA4FD61CA1EC42A217CBDC8CC22290 |
|
CONTENT
ssdeep
|
768:YAKyc/lbBYjeuCEKjAV+7eX7RNJ4G4vRyLH6kTUhkXBi6uMZjH68YxHBp:phs7UG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd02fba14aea207e |
|
VISUAL
aHash
|
6566121a0203febc |
|
VISUAL
dHash
|
c95c363616ce5269 |
|
VISUAL
wHash
|
e7c69a1a1203fcbc |
|
VISUAL
colorHash
|
38011000003 |
|
VISUAL
cropResistant
|
c95c363616ce5269 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.