Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFA396245F521B0BA677D3E4B8718B8C73272319DF9108ECFAEDA662E38E71105716E1 |
|
CONTENT
ssdeep
|
1536:AcfptkaJFd3O7YJ0vIxOFM3xHQVWT5xwxycw3vEWXhGIdftohhnOxUVGVHxMxUZR:WaYVTa3r4qcyWcPuykTO+6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6664849595b6b59 |
|
VISUAL
aHash
|
00e7e7e7ffe7e7db |
|
VISUAL
dHash
|
090c4d4d0e0e0f33 |
|
VISUAL
wHash
|
00e7e7e7c3c3c381 |
|
VISUAL
colorHash
|
07401000000 |
|
VISUAL
cropResistant
|
090c4d4d0e0e0f33,338b8d9bd830b139 |
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 54654 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.