Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9D2E872F5C8BC3342A353E8B0929A8A61DB455F8F618C707B9C49A8B3D3CE75D31265 |
|
CONTENT
ssdeep
|
768:8I+IQIkIgIgIoIQIAICiW26kuNsS5W43II0Ii4FN/J0F7P3CKI+IQIkIgIgIoIQw:IuwsAEKb40gm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2434dad34133ab6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
00e0c8c82e2e2f3c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
6063c898cc84c2c1,15196c2b2acdae1a,2c2e2b07272f2c38,802088e8c8c8c8c8 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)