Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198234A726732B8B843DB91EEE7392946B2D2489DE8C74414B1C99ACD13C3C817297BB4 |
|
CONTENT
ssdeep
|
768:a2+EsZx8/G8a4bDaw+MDBfwsMDBCwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:a2+EsZ/8dbDaw+MDBfwsMDBCweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3b91812e94c56b |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0f5d71554d002000 |
|
VISUAL
wHash
|
8181810081ffffff |
|
VISUAL
colorHash
|
1e006000600 |
|
VISUAL
cropResistant
|
0f5d71554d002000,8bd4d47133b4e4ca |
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.