Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142E2DD306900DD2B01CFAAC89672662A22F98345D62311C8FEF5C7F95BAFD6DCA33550 |
|
CONTENT
ssdeep
|
384:wWdsJO5xVZjqTSvB2NabikMUUJ5QNc9roUa87ZfKGP5KIcDuscDM1KqVEATlA:XsIx/jh4abikePiUf7ZCG1H+K0Pm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90eccb92a59aa6cd |
|
VISUAL
aHash
|
ff48c6066e660c08 |
|
VISUAL
dHash
|
84a9aa9cccccd853 |
|
VISUAL
wHash
|
fff8c2066e6e0e08 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
8080808020a08080,a0a9ac8cccccd853 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.