Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105D3E8F4926071EA5127EFC8D731AEAB715B71BFFFA3868443B893D1A686D84D844C04 |
|
CONTENT
ssdeep
|
1536:LXfbX0KVlQLfUU1w9e9klQLfUUNlQLfUUzR4CFRLbAcO1+9fTirPOL:vVI1qINIBFr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd51c6d63131d4c6 |
|
VISUAL
aHash
|
1e9bcbc3cb9f9f9f |
|
VISUAL
dHash
|
3c23121a1b232d2b |
|
VISUAL
wHash
|
1e91cb81e7919793 |
|
VISUAL
colorHash
|
07000200180 |
|
VISUAL
cropResistant
|
3c23121a1b232d2b |
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 1404 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 10 other scans for this domain