Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19133D930A5067D3F528387E1B67253AAB3818789CF138A4177F443AD9FC6D9ACF26149 |
|
CONTENT
ssdeep
|
1536:Zv4N2/VeIP2UGjI5GtwxIJ2o2ETtPAU7ZF:ZRP2UYw8tPt7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d14f834eb8eb10c7 |
|
VISUAL
aHash
|
30384840c000ffff |
|
VISUAL
dHash
|
e9f2d292a4a0579c |
|
VISUAL
wHash
|
3c3878c0d000ffff |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
f2e2e3a4a8282a67,a68e0e6eea41f2e3,f8e6c1828ea68c89,82c167479e84e1f1,6cd8d939f8c38f98,10181896969e9e9a,e9f2f29a92b4a8b4,3931311d1d1c1e3c,1a0d1e161b4f6732 |
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 117 techniques to evade detection by security scanners and make reverse engineering more difficult.