Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106C29A71A1142B3B02A3C2CDB361B72E62D3824DD74A191553FD837D4BDBE50EE27256 |
|
CONTENT
ssdeep
|
768:le4jRUlXA2rF8kL59kg5sD7sOy2+y9BH4crIe:vRxCTPo7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c346b039bd3ce4e4 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc9ccc0c8c8c800 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
39040000e00 |
|
VISUAL
cropResistant
|
cc00980258988000,dcc9cce4c0c8c8c8 |
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.