Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166D1E1307012347753271BC1B4A2471E67138325DB43185DBBE91BA6BBCDCEA8DB26E8 |
|
CONTENT
ssdeep
|
192:lNMWb7gSMoMvErEFtcLaz7LataLa8pLaGDALaaWMcfYNqyTzhBeC3L:PM7oSFtcLaz7LataLa8pLaG8LaaWrCtx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
917b6ec4913b66c4 |
|
VISUAL
aHash
|
00000000ff000000 |
|
VISUAL
dHash
|
0000003092001000 |
|
VISUAL
wHash
|
00000018ff0c0000 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
0000080808081000,0000003092001000 |
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 49 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)