Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1756241B054826E3F21A7A6D48B31A3DF3681B290DACB2A0147F847E88FD5C83CD5B745 |
|
CONTENT
ssdeep
|
192:AKtIID4ESt9cJNaJMMBa8dfaYIAAqRe2IVtAxhsQSo:rtIIcESt9qaJC8dfaCRe2SHQSo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
874d323dd23cc23d |
|
VISUAL
aHash
|
0020747e7e670766 |
|
VISUAL
dHash
|
9cc8c4e0cec62ecc |
|
VISUAL
wHash
|
00387c7e7e670766 |
|
VISUAL
colorHash
|
30001400080 |
|
VISUAL
cropResistant
|
9cc8c4e0cec62ecc |
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 220940 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 3 other scans for this domain