Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151321AF26188307B7103E7CDFA19765CB003655CFF5186A0DBB74AA1A5A7D6CA41188F |
|
CONTENT
ssdeep
|
192:D+1EF3VfVRZOUdeENSPkwVDFd3q5fJ3dMKjkIDye/DVhnOLcBe5TGSjQp4/0xc03:DhhVfVrOUdeENLwVDOxJyvIDy8VhnOgl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc9b3c30339c93cc |
|
VISUAL
aHash
|
18183c3c00001818 |
|
VISUAL
dHash
|
30967170064c3232 |
|
VISUAL
wHash
|
ffffff3c00001818 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
0024dbe4e4d02200,a280c02b33c280b2,30967170064c3232 |
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 928 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