Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2C2EF708051A83F06E3D2E5A23A275F73C28209CF534B0567F983AD5FDBD58CD26A69 |
|
CONTENT
ssdeep
|
768:T1QKl9kx47NDiEZAs6s6XHd4nTd+vY7Et3As6s6gcRv7:uXXXXHenB+vY7EtQXXgch7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91a5d6cce2d5e0aa |
|
VISUAL
aHash
|
ff0f0f0f0f0f0c04 |
|
VISUAL
dHash
|
345a9adbd9985819 |
|
VISUAL
wHash
|
ff0f0f0f0f0f0c0c |
|
VISUAL
colorHash
|
03006000000 |
|
VISUAL
cropResistant
|
245a9adad9999858,1d1919581818181c,5a9adad999985819,3d3c3f3a3f333836 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.