Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCA31A6C40C0AA5E08A312CECF936F5DB7DE4058E6228B6A54EFC466E7D5638CC7C45B |
|
CONTENT
ssdeep
|
1536:l44/vPOYgthz+O58U5D6Z7QXsC0xjAuiQ44roPOjgthz+O58U5D6Z7QXiOOLW55G:wLthzYRBcthzYYG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb2c962493b6b6b4 |
|
VISUAL
aHash
|
ff18181800003c7e |
|
VISUAL
dHash
|
b6b332e9d9c1f0e8 |
|
VISUAL
wHash
|
ff18183c6c007e7e |
|
VISUAL
colorHash
|
31006000400 |
|
VISUAL
cropResistant
|
b6b332e9d9c1f0e8 |
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 84 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)