Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B34867C300215AF6173CAD0B4A1BF0AE0E1F30BDE69E605D5EE12156FCBD62A9E1674 |
|
CONTENT
ssdeep
|
3072:/soHf4jJ8rBKish6pKgwegdUZL8R+7rO8ipbs:EF0O8ipbs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89cd26769d8a8cd9 |
|
VISUAL
aHash
|
b700191918100000 |
|
VISUAL
dHash
|
4d13b33372715559 |
|
VISUAL
wHash
|
ffd01b3f1c390d01 |
|
VISUAL
colorHash
|
30000009400 |
|
VISUAL
cropResistant
|
4d13b33372715559 |
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 66 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