Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17BA2C731A014693B51AB93C9B2A2B33DE1E7D249EB850C1992FD87DD87E7DD0C92341B |
|
CONTENT
ssdeep
|
384:CNy5N0wjGWIWZRA1z9s2YHWE9IIIIIM4vKMwRjZU2jHoyCNIYsOy2+y9BH4cCUIe:CNy5N0wjGo/AJKIIIIIMOKMwRjZHjHoV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bec32b249c783 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1d63434bec3cf300 |
|
VISUAL
wHash
|
00f9f9000f00ffff |
|
VISUAL
colorHash
|
39001200180 |
|
VISUAL
cropResistant
|
0068969696164800,7100900170b08000,950b434b4bcc3c71 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.