Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8234BB26722B8A843DB91DEFB382D56B2D1489DF8CB4450F5C95ACD13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aH8A+EsZx8/G8a4QpDaw7MbBMwqMbBFCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKN:aH8A+EsZ/8dQpDaw7MbBMwqMbBQN2/yb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3ec0c1c1d2d2c3 |
|
VISUAL
aHash
|
c3818181ffffffff |
|
VISUAL
dHash
|
2b332b3300230000 |
|
VISUAL
wHash
|
0081818181ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
2b332b3300230000,6fb3f6acfcf4b7b6 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.