Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C33309F853A5E6F9E101D3E4DB660539735A11FAEA82C710C3FD9F8C98E588EDC49881 |
|
CONTENT
ssdeep
|
768:BhXTRlXND9bVOvuOtp0VOIRVCiCbDrkleEQ8hXTRlXND9bVN:7RFVUuOtp6adUhRFVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb2ac47dd9c096c2 |
|
VISUAL
aHash
|
ff0101090b07ffff |
|
VISUAL
dHash
|
b30f9f5b5b1fccc0 |
|
VISUAL
wHash
|
ff0101010907ffff |
|
VISUAL
colorHash
|
1b2000c0001 |
|
VISUAL
cropResistant
|
012380b5b1020087,fcffe087bff2c468,f0e0d3c2c0a0a0e0,6e66e4cccccc8e8e,8080c0c08464e2e0,071f0fdb5b5b1b1d |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.