Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151235BB26722B4B843DB91EEA7383D46B2D1989DF8CB4414F5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aY+EsZx8/G8d4NDaw8MxBvwsMxBSwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAq:aY+EsZ/8WNDaw8MxBvwsMxBSw0N2/y9X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e94943ac59516 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5571715155000000 |
|
VISUAL
wHash
|
8101018181ffffff |
|
VISUAL
colorHash
|
1e0060000c0 |
|
VISUAL
cropResistant
|
5571715155000000,96b66969f1d99c94 |
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.