Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136A13F31D68C653B122B1EE1B8B19B9E79D3A20DCA7B080592FDD3CD5BC9DC6EC5044A |
|
CONTENT
ssdeep
|
48:Tx4imJUhjsBS0kwInOQLCseeNGa4SGa4l0VzaOHX7Bn14XTrnr4r+VWsxcSmbsPj:TmKCFPHHEF10zc6Gw/iR8AhwkbSw2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c3bc364393cc9 |
|
VISUAL
aHash
|
003c18307c7c7eff |
|
VISUAL
dHash
|
d46932e0c0d4d8c0 |
|
VISUAL
wHash
|
003c18187c7c7eff |
|
VISUAL
colorHash
|
30000c00018 |
|
VISUAL
cropResistant
|
d46932e0c0d4d8c0 |
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 82 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.