Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5234AB26322B87843DB92EEE7392D45B2D1589DF8CB4414F5C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aa2k+EsZx8/G8/4QcDatRMJBVtGMJBrwZUcix+y9dQpUDF1E56ITmHDLBABW8KPS:aa2k+EsZ/8AQcDatRMJBVtGMJBrwZUX6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf2f6ed0d0226e90 |
|
VISUAL
aHash
|
81010081ffffffff |
|
VISUAL
dHash
|
7171715510071f49 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0f007000000 |
|
VISUAL
cropResistant
|
7171715510071f49,cff3b369f1b3f3ef |
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.