Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FC28372A114673B02B382C973A1B71FA2D3828DC74A192553FD836D4BEBE00FD67256 |
|
CONTENT
ssdeep
|
768:he71N/Q8iVkk4FB3cs7sOy2+y9BH4cLIe:KNFqF4HT7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303b438bc3ce5e5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc4c8c8c800 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc9c8c4c0c8c8c8 |
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.