Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EC2C872A0546B3B03A3C2D973A0B71F62E3424DDB4A151153FE836D5BEBE10BD27256 |
|
CONTENT
ssdeep
|
768:Une4da0M0d9zXn4Y9JJq7sOy2+y9BH4crIe:ULaqFw7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3039638bc3cf4e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9cce4c8c8c800 |
|
VISUAL
wHash
|
067c74302044ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
c880c80458988000,d4c9cccce0c8c8c8 |
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.