Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3512720A2965E2E1177FAD8D0F13F2E3393E30FD60615A11AA65B94CFDFDA5B900851 |
|
CONTENT
ssdeep
|
24:haH1AcMNjuuwoklrGDbVEvGsNEDHkNUMxo296ZNNTUgjG3/56p6kk/rPkeFMiNju:gcuHjGnSvBhJ9+AP52c1aoALP0f809Hi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c56f903e943a8567 |
|
VISUAL
aHash
|
0020200060007eff |
|
VISUAL
dHash
|
024040c0c00280c8 |
|
VISUAL
wHash
|
036060607003ffff |
|
VISUAL
colorHash
|
38c000000c0 |
|
VISUAL
cropResistant
|
0010080808081000,024040c0c00280c8 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.