Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170C265A5CE219E3F00E3C1E5A77127ABF889E513C9A315859EF5C7DC1F96C82CE22914 |
|
CONTENT
ssdeep
|
768:7gWgG0OdcEeoyeDcecjeLw+jeP0AKpyIojkV9h4RHeOqIz3S:xd4q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6386d309679c5e6 |
|
VISUAL
aHash
|
80003034367c3c7c |
|
VISUAL
dHash
|
08c4c0ccccccc4e4 |
|
VISUAL
wHash
|
c000703c7e7e7c7e |
|
VISUAL
colorHash
|
38000000198 |
|
VISUAL
cropResistant
|
08c4c0ccccccc4e4 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)