Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162C33CB07145B527163347F770B62B037259510BCA0B0E54B3A8EEAAE7F9C93B4936C9 |
|
CONTENT
ssdeep
|
1536:Tt5c5Wj9wfGXZ1pYTrNrLx4TESLwsGSMBDLw1j90+1Lmjz4:xRj9wfCZ1KhmTTwsiW16+1/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6c4693db43d6994 |
|
VISUAL
aHash
|
0274707636000083 |
|
VISUAL
dHash
|
86c5c5ecec81f403 |
|
VISUAL
wHash
|
62747076767010ff |
|
VISUAL
colorHash
|
3020001a000 |
|
VISUAL
cropResistant
|
b53dca545c093333,0205324d4d320d82,86c5c5ecec81f403 |
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 17132 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