Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7234B726722B4A843DB91EEF73C3D56B2D1488DF8CB4454B5C95A8D23C3C816197BB4 |
|
CONTENT
ssdeep
|
768:am+EsZx8/G8E4JDaw3M2BywJM2BjCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:am+EsZ/8/JDaw3M2BywJM2BGN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a95913b959562 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0d05050505400000 |
|
VISUAL
wHash
|
8180818081ffffff |
|
VISUAL
colorHash
|
0e010000e00 |
|
VISUAL
cropResistant
|
0d05050505400000,a200068686060602 |
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.