Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104C2A771A0042B3B02ABC2CDB7A1BB1E63D3824DC78A191553FD836D4BD7E50BE67156 |
|
CONTENT
ssdeep
|
768:Le45R9KVuI8f6lT4a57sOy2+y9BH4crIe:bR9c8id57sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3079638bc3cb5a5 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8cce0c8c8c800 |
|
VISUAL
wHash
|
067c64302064ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
8c00980258988000,dcc8ccccc0c8c8c8 |
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.