Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12762C870A2186A7B1557A2D1F7A5333B72A6828AD707061852FD83E8D7CEC5CED3B580 |
|
CONTENT
ssdeep
|
384:uvaD9dDzJL+QDUow2FrfPhc1NGaD9dDzJP/vXH:u8F+QDs2PyxXH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc52c34d93293c9a |
|
VISUAL
aHash
|
f8f68bc79f9373ff |
|
VISUAL
dHash
|
2b64361f3926c7e8 |
|
VISUAL
wHash
|
e8f482838f11337f |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
2b64361f3926c7e8 |
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 52 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