Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D612B970D0A85A3721E78ACCA2B7DF1A65D6C18BE98E456D62FCC34803C7EC4ED535A0 |
|
CONTENT
ssdeep
|
192:4kxW1emwZR1KvsFwnkxWxbi27I/HNauYhr5QZrc6iSClVl7DX3f:4kxKPsUkxebz7I/HNaFhFoc6Ru/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9356d4f5f91c0703 |
|
VISUAL
aHash
|
fee42589cbe7ffff |
|
VISUAL
dHash
|
104c693b9a4c902b |
|
VISUAL
wHash
|
3e242501c3e700ff |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
104c693b9a4c902b |
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 10 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.