Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B56394F181BE703F7216FAC16190FE5D9783828ACE030DCB57E696D8C640E759B6A05B |
|
CONTENT
ssdeep
|
1536:Pa81FWG9Yxx9BG79qNk9dBN9fJjB9yyPvF9SjwInqr1H8yAL+MyariKL90cuO:N8ySjwInqr1H8yAL+MyariKL90cuO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3bcbc136c1c1c8 |
|
VISUAL
aHash
|
8181818787ffffe7 |
|
VISUAL
dHash
|
0b0b232c2ee2e32f |
|
VISUAL
wHash
|
8181818787fbff83 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
0b0b232c2ee2e32f,4d918d4c4c7149b1,70e4aefbe9a8aaaa,cf7432f0f0b6e0e0,c08089c387864c69,fbfbfbfbfedee6f2 |
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 641 techniques to evade detection by security scanners and make reverse engineering more difficult.