Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18FC2C771A2403B3F51A3D3C9B352B72EE2D2924DDB46090592FD8B5E0FE7D50EA23169 |
|
CONTENT
ssdeep
|
768:gEqy5NUfnkqPIJNezFt6EsQ7sOy2+y9BH4crIe:dqPIJ87sQ7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc12c3a3c76c3ce1 |
|
VISUAL
aHash
|
ff1e9e9a8f9ff3fe |
|
VISUAL
dHash
|
e2b83436343613d0 |
|
VISUAL
wHash
|
3f1c00928f97c1fe |
|
VISUAL
colorHash
|
07000e00010 |
|
VISUAL
cropResistant
|
e2b83436343613d0,978de9999931b1b4,aaaaa2caa2a0a8b3,aaab15aaaa362e2e,5456163332161624 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.