Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161D3E9E1829035EE4217AFC8DB326AAB741B307FFFA3CA8583B457A5A64BD54D844C44 |
|
CONTENT
ssdeep
|
1536:jXfbX0KQlQLfUUixZq/lQLfUUQlQLfUUzJ4CFf5l0RdyFm+9ftidZ5m9b:3QIj/IQIpF3i0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3a9d52654ccc456 |
|
VISUAL
aHash
|
eecfffffe2e7fcf4 |
|
VISUAL
dHash
|
d85900104c4d3004 |
|
VISUAL
wHash
|
feece0e0e0f8e0e0 |
|
VISUAL
colorHash
|
07200200180 |
|
VISUAL
cropResistant
|
d85900104c4d3004 |
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 3018 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)