Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD234B726322B87843DB91EEF7392946B2D6489DF8C74454F1C99ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:axxuh+EsZx8/G8P4uDaw9MDBqwtMDBawZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:axxuh+EsZ/8QuDaw9MDBqwtMDBawZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a95953f94c443 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0d45454545000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e002000180 |
|
VISUAL
cropResistant
|
0d45454545000000,262e81a4a4a4a484 |
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.