Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C13D932A2102A3F1257C3C9F356B72E62F78289D74A002542FD477E4BE6E85ED33569 |
|
CONTENT
ssdeep
|
768:LOy5NZ6IHXNfYn0tYL0CbsMIom7sOy2+y9BH4crIe:MMfYn0tYL0CbIom7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767b818d913c7c2 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c0e4e42c1e2f800 |
|
VISUAL
wHash
|
00c3e2f03030ffff |
|
VISUAL
colorHash
|
31000000380 |
|
VISUAL
cropResistant
|
3080800270908000,0c0e4e4ac2e1c278 |
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.