Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D620BB9722423B48E0343D6F91523FEF21791FDAA6216D8E799821472959FD8831EC2 |
|
CONTENT
ssdeep
|
192:QoUoBZJ5I9nsMJxQFyBoJqqNzeoxaqMdMu9cuGRmKbMpBXp7sfgg8gk:QvoWneFyBoJ5NzPJM2smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be92f560ca29a53a |
|
VISUAL
aHash
|
fffe0918000000ff |
|
VISUAL
dHash
|
1c7c7b7135575736 |
|
VISUAL
wHash
|
ffff0919098000ff |
|
VISUAL
colorHash
|
0e610000000 |
|
VISUAL
cropResistant
|
1c7c7b7135575736,636ac6d6e4bcd97a,b4a8d450b5ad76f2,8b83b0bc69f0baaa,c0a2ae3313a6a2d0,a282c84b13cd82a2,bc3cbbf17136d616 |
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 487 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