Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166F27431B255AD3B44A792E5E3B1632F22D6928AC907034493FC87BD0BEBDC4FD26594 |
|
CONTENT
ssdeep
|
768:SdaarxshslTDIDD9qH5Riam6xwL5BNz7ddL6VpEUkfh/:GrlTDIDGadL6AF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9eaa41eadd69c12a |
|
VISUAL
aHash
|
f9ffdf9f9fff0000 |
|
VISUAL
dHash
|
2b7c3d392d4d27c0 |
|
VISUAL
wHash
|
b91f0f8f8ce000fe |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
2b383d39392d4d07,0707060202c0d0c4,0000006468000000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)