Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB234AB26722B8B843DB91DEF7382956B2D1589DF8C74454F1C95ACE13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ao+EsZx8/G8c4ODawgMDBuw4MDBfwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqDvlAn:ao+EsZ/8nODawgMDBuw4MDBfweN2/y9p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f2fc0c0d03938 |
|
VISUAL
aHash
|
810000e7ffffffff |
|
VISUAL
dHash
|
6971714d0e110000 |
|
VISUAL
wHash
|
00000081e7ffffff |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
6971714d0e110000,59514a4a4d484aa1,d4c080b6b680c0d4,9e71697969b2b24f |
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.