Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168922E65A580561B0643C2D097F53E4D335CD2428A1728FFB7A5118B8DCBDBCABAC36B |
|
CONTENT
ssdeep
|
192:IEege1eHgHtwlJyTMzgUmtO5aQtlPXssf:IsgHOoiVmtO5hlPcsf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63be4b06cc39867 |
|
VISUAL
aHash
|
3c003c3c007e7e30 |
|
VISUAL
dHash
|
f0f0696910f4cce0 |
|
VISUAL
wHash
|
fe183c3c007e7e70 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
f0f0696910f4cce0 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)