Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A4219B9722412F0DA0393CAFE2132F6E103507EAA521ADCD7548718B2E9DFD8855EC6 |
|
CONTENT
ssdeep
|
192:QoQHoBZJ5I94ppBnFeaB5lpV4x1Mu9cuGRmKbMpBXp7sfgg8gk:QnoWMBnFeaBXwxesmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f7aa55aa55aa5488 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e6 |
|
VISUAL
dHash
|
4c4c4c0c4c4c4d0e |
|
VISUAL
wHash
|
c3c3c3c707072322 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4c4c4c0c4c4c4d0e |
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 488 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 2 other scans for this domain