Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A92A733B088862A4E8B41FDEE98B7A9B05D9249F730C48259F5817FEA41DED343176D |
|
CONTENT
ssdeep
|
384:/FLqmZMGo3NRHmTDCzFwQ5Cs3utwjIS+iXWPeAHS9fL1S3JkkbFZ1akuSrzfMmU/:/FVZMGo3NRHmTDCzFwQ5CQutKIS+iXWw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
844ccbbb34357ba2 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
3aa2c096bef0dce8 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
1e000e00000 |
|
VISUAL
cropResistant
|
bee8ec7cd0ecccc0,2040b2a0c00896b6 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.