Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FA3CD23422935274437C2C1347A5B3BE1A6999BFAE70A011EECC7FB6BF9C90741B519 |
|
CONTENT
ssdeep
|
768:XqULNtpR4nXF6YjOpSpFlTC6rrWDHvv7X5do5vOg:XqURtpR4nXBKpSpFl26vszX5G5mg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83b96cd738c193cc |
|
VISUAL
aHash
|
ff006f0e1e7e7430 |
|
VISUAL
dHash
|
c9cfd8d86cc8c4e7 |
|
VISUAL
wHash
|
ff016f0e0e7e7420 |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
b494e8cc82969aee,c9cfd8d86cc8c4e7 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.