Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116B283309050A97740AB8AF8E279EF5F77C1C227C74307555BF897AA5DC9CF0A94238A |
|
CONTENT
ssdeep
|
384:ixnH4UQ236ZrcULWSujaRrXPP27XFEbmw6:mnHzQkaWbjqXX27XFEbmw6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993136cc8c99cd73 |
|
VISUAL
aHash
|
0000181c38380000 |
|
VISUAL
dHash
|
b28cb2b2b2b20c20 |
|
VISUAL
wHash
|
5b047c3c3f3bc342 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
f2baacacaca88c8e,b28cb2b2b2b20c20 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.