Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18BA37933411835274437C6D530A55B3BE2E69E5FFAA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:bmep3veXLz4NP3+mZY9svblTOCVrdXBCBIBXeFtiuCa28y2OZL:zULz4NP/y9svbliCdeukFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c253d53a9929b94b |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
c8ccc0c8cd8dc3c4 |
|
VISUAL
wHash
|
0cfc70007c6578ff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080811030808000,98ccccc8cccd8dc0 |
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)