Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16832DD21E502905B1137D9D1F550FE0CA6D9F30FD68A89A0B9F805E4AFE7DF4B8271A8 |
|
CONTENT
ssdeep
|
192:miEAmtwNA5eqJTTPP/WTM5UnWfloDNWTM5UnWflvNNWTM5UnWflqmNWTM5UnWfla:paBYuhXnPW3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36664cc666633d8 |
|
VISUAL
aHash
|
e7e7e7e7e7e7ffe7 |
|
VISUAL
dHash
|
4d4d4d4d4d4c4c4d |
|
VISUAL
wHash
|
c0c0c0c0c0e4c0c0 |
|
VISUAL
colorHash
|
07200010400 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4c4c4d,c9ddd4ccdcd4c464,4e0e064661989292,6d7b5753d3c90f8b,ecc88acccc8ac831 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)