Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DB2D7B1A194163A436B8BCEB220B7FC72B7919DD2B31024A6FD8FE41BC5E98DC11542 |
|
CONTENT
ssdeep
|
384:MFPNiiENsigoSB3un+XVkRcKmHTK0JK4UIK9rKgHhKRfxEiBne3dZ9cU:MbqnghB3un+XVbbvXD+Pt6y9cU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
956e6a0b68b9b296 |
|
VISUAL
aHash
|
00060f0f0f0f0f00 |
|
VISUAL
dHash
|
415c1c9a5e9e5aa5 |
|
VISUAL
wHash
|
018fcfcf0f0f0f60 |
|
VISUAL
colorHash
|
30000038000 |
|
VISUAL
cropResistant
|
da5b241cd8d8d880,a2a2aa8ab2b20c00,00000080a082aeae,415c1c9a5e9e5aa5 |
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 60 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.