Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C061DFB1B580143F275BDBCEB797BB68E0B6C1168AC41C9131EC9A4E9BB1F13C4110D1 |
|
CONTENT
ssdeep
|
48:T3XpXANa98vvesl/ZBcaQxjXL4yl5ya7tPMizHUawBwQHw7wy9wwbawRPwDwewY+:THJP98vvbcaK4yjtBvLUfIvhIWj60OA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0ec0da6b2dae929 |
|
VISUAL
aHash
|
0200d9ffe7e70000 |
|
VISUAL
dHash
|
0c84138d8d869440 |
|
VISUAL
wHash
|
0260fffff7e70000 |
|
VISUAL
colorHash
|
32601000000 |
|
VISUAL
cropResistant
|
0c84138d8d869440 |
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 24 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.