Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9234AB26732B4B843DB91EEE7382D56B2D2589DF8C74450F1C95A8E13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8S4xDaw5MDBaowqMDBaBwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvQ:aA+EsZ/8lxDaw5MDBnwqMDBKweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef6fc5c53a909038 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
6161716155000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e403080000 |
|
VISUAL
cropResistant
|
6161716155000000,32c071b2f0e0b284 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.