Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1A2C823B088822E5E9B51EEEF88B759B18E9245F730C48259F5813FDB52DEC352136D |
|
CONTENT
ssdeep
|
384:H+kxdG6xBcuza03RqeAjnaQ8G43bz+kYUQdfA7WTS/WKYrIh55rkON0VPQfMmUFU:H1xdG6fcuza03RQaQ8G43bz+kYUSfA75 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a1694f9ea1616de8 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
83ec808ea8cefce0 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
16000e00000 |
|
VISUAL
cropResistant
|
8ca80cc0ccbcc060,0303c8c00084ca8e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.