Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C51643111282A3E76038A94F612B738625FD348DB57642CE1AD42BA2ED5C94CA5F594 |
|
CONTENT
ssdeep
|
48:TmtyhClx6t/cOVW2UKEQT1uIAlsLkCbPx3lkCGPx3/DsE/c59xRjcHtrkYB+B5xI:Tmoc6tkOVWxK55uIASLkCb1lkCG1/4EH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966669999cc66 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
3004b2b2b2b20c30 |
|
VISUAL
wHash
|
00003c3c3c3c0000 |
|
VISUAL
colorHash
|
38000000038 |
|
VISUAL
cropResistant
|
8c0f337940616100,3004b2b2b2b20c30 |
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 27 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.
Pages with identical visual appearance (based on perceptual hash)