Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE0233E0C418DD3743128AE9A3F5AB0B7292C74DDB02198057F883AB67DECA0CB1559E |
|
CONTENT
ssdeep
|
192:QN5TZ+lZuvZ0unzda/dHYMt27ur7VJOSIzxC1:QNH+zux0uzud4Mt27urXX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8bf6aa39014eb6e1 |
|
VISUAL
aHash
|
ffffff3c08091919 |
|
VISUAL
dHash
|
4e4a49e8ba3b2bfb |
|
VISUAL
wHash
|
ffffff1808081818 |
|
VISUAL
colorHash
|
06400048000 |
|
VISUAL
cropResistant
|
4e4a49e8ba3b2bfb,64c2c145152942c0,6f3b3b2f2713870e,686cedaae8686a69,f0505af5584c4c43 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.