Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DB27571A190663B0297C3D9F2616B2FA2D3824DE78B051683FE876D0FE7E00DE27516 |
|
CONTENT
ssdeep
|
768:TekjTBBL7/BaZGUESq7NL1XA7sOy2+y9BH4c1Ie:rTB9BP6qhpw7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3479432bc38b0ed |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
dcc0c2c8c8cccc00 |
|
VISUAL
wHash
|
06787060600effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcccc0c0c8c8cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)