Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A54D7A5A262227E504387E8EF36B33D305FB8EFD6056368E39C5271378AC48F8555D8 |
|
CONTENT
ssdeep
|
3072:vFAlCREMCWeRycsbXsCR03vRkrXvoRqDRghGRA5ZRYzxRppIRg9dRpwSRVSWR61f:Ls |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86b6e196e11cc63e |
|
VISUAL
aHash
|
7e6e1e1c1e3e1878 |
|
VISUAL
dHash
|
d4cca4b46c6460c2 |
|
VISUAL
wHash
|
7e0e3c1e1e3e1878 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
d4cca4b46c6460c2 |
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 309 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.