Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BA37933411835274437C6D530A55B3BD2E69E5FFAA70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:EmepRt8Lz4NP3+mZY9svblTOCVrSRJxkfwKFtiuCa28y2OZL:ACLz4NP/y9svbliCde+hFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c256dd3a9129b94b |
|
VISUAL
aHash
|
00300000000000ff |
|
VISUAL
dHash
|
c8e4c0c8cd8dd3d0 |
|
VISUAL
wHash
|
0cfc70007c6578ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,c8e4e4c8dccd8dd2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)