Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179C29671A100273F42A3C3CD7352B76E92D3924DD78A095693FD87AE0BEAE50DD13526 |
|
CONTENT
ssdeep
|
768:0SXy5N1aTPj07x1Rg5Os9t6C9nCoPJ+AP7sOy2+y9BH4c1Ie:VTPj07x1CtP9nCoDP7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd16d8698482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c4dc3c3ec4ce600 |
|
VISUAL
wHash
|
80f571300c04ffff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
008080084c808000,140dc7c3e3eccce6 |
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.