Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190B2A5305158A933A2D3D1E4BBB29F1B3291C742C743476853F883AD9BDED60CE7A295 |
|
CONTENT
ssdeep
|
384:PMj1X7kmfkXd97+MAgQ6DsL0ZV4dTx9SUj/U6rxszjtr2taTGRI5:uSf7+MAgQ6DsgZVMTiUA6rWjtitaTh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99c9326796663663 |
|
VISUAL
aHash
|
181818181818181c |
|
VISUAL
dHash
|
b2b232b232323230 |
|
VISUAL
wHash
|
181818181818181c |
|
VISUAL
colorHash
|
38001010080 |
|
VISUAL
cropResistant
|
b2b232b232323230 |
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 23 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.