Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10793E9E583A075E95217AFC8DB31BAAE715B74BFFFA38B84837847916687D94E404C00 |
|
CONTENT
ssdeep
|
1536:UXfbX0KvlQLfUUlzlQLfUUNlQLfUUzR4CFsEAcO1+9fTirPMx:wvIZINIBFZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f1d4517d4c172d8 |
|
VISUAL
aHash
|
2e0099fbafa7fbff |
|
VISUAL
dHash
|
4c7b2b52686c4624 |
|
VISUAL
wHash
|
0c0099a9afa7a3fb |
|
VISUAL
colorHash
|
070006000c0 |
|
VISUAL
cropResistant
|
4c7b2b52686c4624 |
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 1084 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.
Found 10 other scans for this domain