Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5C360B0A15CAD3BA0A391D5F2B46B6F31D5834ACA870310D3FD83795BC6CE6ED26149 |
|
CONTENT
ssdeep
|
1536:iT37wzuNpR7Eef1YPA1drZ9d/qh/p7yjgzvmGxsEyxsjVFtF435vKdqlAiTiw2ms:iTktopJZManLjP2ehcKFpELY3I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc8591373535353d |
|
VISUAL
aHash
|
623c181800181818 |
|
VISUAL
dHash
|
c661b234243032b0 |
|
VISUAL
wHash
|
7e3c183810ff187e |
|
VISUAL
colorHash
|
38018010200 |
|
VISUAL
cropResistant
|
c661b234243032b0 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.