Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137E3C4F1939032EE421BAFD4D7327AAA755B347FEBD3868483B887E16A87C59D404C50 |
|
CONTENT
ssdeep
|
1536:OXfbX0KElQLfUU5MkwoDJ58CIlQLfUUQlQLfUUzJ4CFf5lec+yFm+9fBidh5mzb:+EI3LIIQIpF3WC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e154797d458d8d1 |
|
VISUAL
aHash
|
3e008981bfbfbfff |
|
VISUAL
dHash
|
6c4f3b3354686b66 |
|
VISUAL
wHash
|
3c008181bfbfa5f3 |
|
VISUAL
colorHash
|
070002080c0 |
|
VISUAL
cropResistant
|
6c4f3b3354686b66 |
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 1080 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