Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE828633C3D9C547356280C8F5A3672FA343825F9F115792FAF90AA79E8D9702663788 |
|
CONTENT
ssdeep
|
384:SlMFj2KjNjWClEMihzGq4XywrkSW6mUhgoyfDRi:aAj24EMtPwWhCI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ac967136dd99225 |
|
VISUAL
aHash
|
3c3cded8100c0c00 |
|
VISUAL
dHash
|
59f198b0b6b9e966 |
|
VISUAL
wHash
|
2c3cfefc5e1c3c00 |
|
VISUAL
colorHash
|
30601008000 |
|
VISUAL
cropResistant
|
83a3a383a383a3a3,59f198b0b6b9e966 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)