Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144A37B33411935274437C6D530A55B3BD2A6994FFAE70A010EECD7EA2BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:oSjy5NXHMljLz4NP3+mZY9svblTOCVrxZiFFtiuCa28y2OZL:qM5Lz4NP/y9svbliCdPIFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d267fc32e938904d |
|
VISUAL
aHash
|
00602000000400ff |
|
VISUAL
dHash
|
9cccc4d0c8dc3cb2 |
|
VISUAL
wHash
|
c0fefe60244e00ff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca55714d4d715596,008081303000a000,9cccccd0e0dcdc30 |
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)