Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167E23F716956BA3701D3E2C9A3355B4AF3E5C284CA532309B2FAC36E1FE3C65EC06255 |
|
CONTENT
ssdeep
|
384:nkTXDHqlle1EdhekyQpM5WlCI0QpM5mIL86QpM5n6QnM9OKHJWKiuKxK4hKAKPKI:kt1EdrFfr9OG0q63xOFBbef0SFI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d073535869d9d36 |
|
VISUAL
aHash
|
0200183c3c180800 |
|
VISUAL
dHash
|
e615b27169b2900e |
|
VISUAL
wHash
|
32003cbdbd7c00ff |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
e615b27169b2900e |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.