Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111234A726332B87843DB92EEF7382956B2D6589DF8C74414F5C95A8D13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aF+EsZx8/G8X4sDawxMJB6wtMJBkUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:aF+EsZ/8osDawxMJB6wtMJBkUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6e95c16b949436 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4145454541000000 |
|
VISUAL
wHash
|
8181808081ffffff |
|
VISUAL
colorHash
|
1e032000000 |
|
VISUAL
cropResistant
|
4145454541000000,84c38484a48484a1 |
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.