Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4F25372A308193FA12387D6E375737532AA218DDA0A5138E97D13B8C7C9DCAF937458 |
|
CONTENT
ssdeep
|
768:ojIeMcVapBFIEc1pBFIEcpfb0BZyvYXMWT7AfiSmn:JeMccpHDc1pHDcpfb0ZyvYXMWT7AfiS2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
939369393c36e469 |
|
VISUAL
aHash
|
0c3c3e362c240418 |
|
VISUAL
dHash
|
d8d9e4ccd9494db2 |
|
VISUAL
wHash
|
3e7c7e7e3c2c0418 |
|
VISUAL
colorHash
|
30000608040 |
|
VISUAL
cropResistant
|
fcf0f1cc999b92c6,d8d9e4ccd9494db2 |
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 218 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