Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CD29431A110373F519783CDB761F32AA2E3524DEA86090593FC87AD4BD7E60EE6351A |
|
CONTENT
ssdeep
|
768:qSzy5NWwHWQlkjm7yFwa7Fl0SeL7sOy2+y9BH4crIe:K293uSl0FL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f53a963c8de1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cdc98b00 |
|
VISUAL
wHash
|
64f370300401ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c3c3c2cccdc90b |
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)