Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159B400F123228DBF41ABD6F2F3A55B3E7095D70CDE9B894A92EC83A527C2C05ED65104 |
|
CONTENT
ssdeep
|
1536:hPRyiwfGKeQV1ENFtbJQehWsmehWsmehWsmehWsBJBZEfG6VPbtAKXUbbaAOtzDF:n+vvv8h7e |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c79b74c3733cc84 |
|
VISUAL
aHash
|
0218180018183f3f |
|
VISUAL
dHash
|
8433b22bb3b1ccee |
|
VISUAL
wHash
|
02181a19197d7f7f |
|
VISUAL
colorHash
|
38006000400 |
|
VISUAL
cropResistant
|
e0aac027268280e0,8433b22bb3b1ccee |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)