Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B6320389348252DA5838BE1E6D0B77CD1FDC7D7DB1BAD1CF26C41912B4AC498E9B290 |
|
CONTENT
ssdeep
|
768:OG+fuULAJy5+dFbuh0VXlcTPK4BzizzPY6YIeY98pasZ8NrjTCvFlnd56Jh1aLN6:IL1WT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c99b78c332dac33 |
|
VISUAL
aHash
|
3f3c18183c181000 |
|
VISUAL
dHash
|
3268b2b270f03000 |
|
VISUAL
wHash
|
ff3c3a7a3e1a1c00 |
|
VISUAL
colorHash
|
38000033000 |
|
VISUAL
cropResistant
|
8040119cc4480100,a2a880332b2b80a2,3268b2b270f03000 |
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.