Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151134B726332B8B843CB91EEB7392D56B2D5489DF8C74414B5C95A8E23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G874QDawiMJB2wuMJB4Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:aU+EsZ/8UQDawiMJB2wuMJB4UXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6ac1913bd1d11d |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
4d61715171000000 |
|
VISUAL
wHash
|
8180808181ffffff |
|
VISUAL
colorHash
|
1e007000080 |
|
VISUAL
cropResistant
|
4d61715171000000,86c061e1f1e094b2 |
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.