Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DC3827100A4763F4127A7B5B5EBB301A65E80A1EFEA42C2F7D2660AFDC0D539635C8D |
|
CONTENT
ssdeep
|
768:MX0R8+SnJboqPDzWf8ab+OAl71TJEAr1xOD9g+muBYiEB+GZeE5zzthRtf6DBSh1:MjyYYvEB+KzzPFNFo+b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec4e6ae411cf13e2 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
2525656224260727 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
0e0400c2000 |
|
VISUAL
cropResistant
|
2525656224642727,6971a2c6e2e0e075,7061c3d890f0fc9e,0008303230081000 |
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 11 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