Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137234A726722B4B843DB91EEA7383D46B2D2989DF8C74414F6C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:axj2M+EsZx8/G8j4bDaw2MCBawzzMCBzqN2/y9dGDTDiJE56ITmH+LCBlvNPqDv7:aX+EsZ/8MbDaw2MCBawPMCBeN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb6bc4943b90d0cb |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
1d4f4d1959040000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e002000640 |
|
VISUAL
cropResistant
|
1d4f4d1959040000,bc8fcfcc98beda9a |
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.