Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4D3A4B94253453FD12345DDF2B2EBBA52FA824CED73E24883FC526537C5C84E962A81 |
|
CONTENT
ssdeep
|
1536:mrXiK0LJ5LbGAbrpX8k28cMwQZPppN6+bjPImgKYDMm9wmXB1hya2e7ajrQrBQHK:pqiq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0ac3fa2a23beae2 |
|
VISUAL
aHash
|
0312f0def6700000 |
|
VISUAL
dHash
|
63b6a2baccc23001 |
|
VISUAL
wHash
|
9b1af8fefe7a0000 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
63b6a2baccc23001 |
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 262 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.