Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161C28671A010273B02B7C3DAB3A1BB2E63D38249D78A191553FD836D5BE7E01AD37166 |
|
CONTENT
ssdeep
|
768:Xe4zdxqPLuCxJo7UQs7sOy2+y9BH4crIe:ZdxpCxi7y7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3069638bc3cb5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8cce0c8c8c800 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9ccc4e0c8c8c8 |
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.