Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197234AB26722B4A843DB91DEFB382D46B2C1589DF8C74414F5C95ACE13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:abwow++EsZx8/G8x4QwjDawRTM5BC+wRwM5BCdqN2/y9dGDUDF1E56ITmH+LXPnp:abHz+EsZ/8iQEDawJM5BxwiM5B7N2/yw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea6a81952f94956b |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
0505050501000000 |
|
VISUAL
wHash
|
8180808181ffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
0505050501000000,0704048404040403 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.