Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0C26531A1006A3B429782D9B371AB2E52F74349DB420615D2F9C3EE1BE6D54DF7341B |
|
CONTENT
ssdeep
|
384:niQepBr5IRwdXR34IRexyHx4ihBWUKn7HW5iqGoIYsOy2+y9BH4ciUIe:iQepBjteOXHWHz27sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9829bca9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98ccccc8cd8d8300 |
|
VISUAL
wHash
|
0c7c30206445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccccc8c8cd8d8b |
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.