Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEC2E73271803637928382C9F761631EE1A39389DF461914E2FD839D47E7E98CE7325A |
|
CONTENT
ssdeep
|
768:Any5NCwJhBkNY1+FkXSVlF4K867sOy2+y9BH4c1Ie:jJhBl1K4K867sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83ec7c3c12c2e2e |
|
VISUAL
aHash
|
fb8f818bcfcfdffe |
|
VISUAL
dHash
|
23393b371d353398 |
|
VISUAL
wHash
|
b18f81818d8d8bfe |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
23393b371d353398,35313a1d5c6c6e15 |
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.