Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T127A31D306118EC3BA19B84D5A2B5576F31E98346CA0B4658F6F493F45BDBCADCE37088 |
|
CONTENT
ssdeep
|
768:4CmsIx/jJBc1j1eBIrNjMHPMoZdyMHV0xMpsQMbbKM3TMuIKMDOMn1iFMuRsVMKy:4CmsIxFBrBIyOp5fJvuZSdHM5bJVA7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999933333939999 |
|
VISUAL
aHash
|
3c18180000000000 |
|
VISUAL
dHash
|
7932b23008000000 |
|
VISUAL
wHash
|
3f1b1b1b00000000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
7932b23008000000 |
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 45 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.