Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1238150705C6D6B3313A783C3A7A34B0FB3C0C260D95B5B1599F5239C8ACAD2ACE95746 |
|
CONTENT
ssdeep
|
96:lqsksWS/JHlcc6nxY0KPJMbCXohYg5Cqx4FCM:lqBZS0rnxsP6sop5tWFp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3e6cc9965249999 |
|
VISUAL
aHash
|
ffa5bde7ffcbe7ff |
|
VISUAL
dHash
|
322a2a4d2a160400 |
|
VISUAL
wHash
|
1b031b031b033f3f |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
322a2a4d2a160400 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)