Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C33B670E155EA3F466391E67277DB2B72C1D28ACB43075646FC83A84ECADB0DC27249 |
|
CONTENT
ssdeep
|
768:lVda/hE5BwKbowbGBJUMd0FGnXKfLFJm2eWUhEJGH:lVc/hmO23bGrUMd0F6XKfL3eWUOS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cce633998c278dac |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
4120303030302000 |
|
VISUAL
wHash
|
a1fd3d3939391981 |
|
VISUAL
colorHash
|
38000018600 |
|
VISUAL
cropResistant
|
4120303030302000 |
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 35 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.