Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F115497BEC0D5A0A707A75CDD3D81D8FE995E357E76209E696C1CF30818A818782AC7C |
|
CONTENT
ssdeep
|
1536:w14L0LpQBnZ2KAWM16Y6VnEOOCt6kOnZ2KAWM16Y635EyMCt6K+2v93ui5w66EJp:GQBnZqRa6kOnZqra6rX2vjfK7XS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9394e06334b4f39 |
|
VISUAL
aHash
|
00cfc9cfcffffffb |
|
VISUAL
dHash
|
691393921a2a4393 |
|
VISUAL
wHash
|
00cbc9cb838bb9f9 |
|
VISUAL
colorHash
|
074000000c0 |
|
VISUAL
cropResistant
|
699393921a2a4393,0629093939390906,0f2f2f37378f1f1f,c4493f5c4c2c9cd8 |
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 81 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.