Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B42D8379201B2290B97430CB7D1A3EEF21BC049F636469566E4413F2AC1FD5C977B8A |
|
CONTENT
ssdeep
|
384:iWfWYWfrmHaJP1hw0GD91hubW0fMmUFCoM3:iWfWYWfrmYw0y91hiW0fBUsJ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf33c03ac4f0f1c8 |
|
VISUAL
aHash
|
8f8f8f8f8f8f8f9f |
|
VISUAL
dHash
|
7878787878787878 |
|
VISUAL
wHash
|
0f078f8f0f0f0f0e |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
7878787878787878 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.