Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14043C7749250233C83D3C3989B266735236E91E2F34121549BFC85F06566ADECEBB7CA |
|
CONTENT
ssdeep
|
768:7S1klm3dOdtFoBygtkgPMBSzS1klm3dOdtFoBygtkgPMuSA:7SqAOVmygSgPMczSqAOVmygSgPMZA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c52e913bb1cae6c4 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
2a0284259620b292 |
|
VISUAL
wHash
|
ff00f08000e0ffff |
|
VISUAL
colorHash
|
39000e00000 |
|
VISUAL
cropResistant
|
00002a2a622a0000,9292929292dbdbb6,0000880808080808,0ac6842dc620b292 |
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 1355 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)
Found 1 other scan for this domain