Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA38933411975274037C6D530A55B3BE2A68E4FFAA70A014EECD7FA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:ImepT9fLz4NP3+mZY9svblTOCVrfxh0oOAFtiuCa28y2OZL:a9Lz4NP/y9svbliCd3FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c253d53a9929b94b |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
c8ccc8c8cd8dc3d4 |
|
VISUAL
wHash
|
0cfc70007c6578ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,88ccccc8cccd8dc0 |
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)