Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B738632E3C30907A0AFD2D5B0215B5912958648C7570FBD767E32B6FACEDB52623398 |
|
CONTENT
ssdeep
|
1536:fJeT3jqZPA83D7AD7kIAhHIa6W41WiaSNhq8F1ndb0dA+gldwgscrkXLwIIMtvan:K2ZPAaIyHXtiToedgdApld3sc4bgMtyn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36c3c9396c33669 |
|
VISUAL
aHash
|
0000007e6c6e7e16 |
|
VISUAL
dHash
|
0b272660d858d825 |
|
VISUAL
wHash
|
0080007e6f6f7f57 |
|
VISUAL
colorHash
|
02c00008000 |
|
VISUAL
cropResistant
|
0b272660d858d825,b2e5c63650e1c2c2 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.