Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DEA3AB23412975274437C3D1346A5B3BD1E6D99BFAE70A410EECCBFA2BF9C90741A219 |
|
CONTENT
ssdeep
|
768:aWWvtpR4nXF6YjOpSpFlTC6rr7+nh6PpLXbyg1p0HJL4t:aW0tpR4nXBKpSpFl26vo0Ppzb2H6t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfe0971891c5c2bd |
|
VISUAL
aHash
|
feb1717119143f3f |
|
VISUAL
dHash
|
6063c3c3f36d6678 |
|
VISUAL
wHash
|
fcb1717111101f3f |
|
VISUAL
colorHash
|
1ec00048000 |
|
VISUAL
cropResistant
|
1858c7272c9c9d95,6063c3c3f36d6678 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)