Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE737811218EA863BD33E7E1F532AE05E3E2E32A881A86F76DD841495FC7C7079604D7 |
|
CONTENT
ssdeep
|
1536:20HMjngqmtFNYULwMypY+t514eAd8CAQ/wHSEtyfd4taq2frMqEgrssC2+TMqv+K:CtgR8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e82020c9d67f5b5e |
|
VISUAL
aHash
|
434300c0ffff80c0 |
|
VISUAL
dHash
|
86861d8cb1b329a9 |
|
VISUAL
wHash
|
434300c0ffffc0f5 |
|
VISUAL
colorHash
|
02008000c00 |
|
VISUAL
cropResistant
|
a280801a3a80a0a2,a292642d1b338ca2,323b692dcd8d3557,c061319392732b18,c1e19182c3c24061,8986968e6d9f1f9f,327309ba880c2da9 |
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 85 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