Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F7319F2A10075BDA407CB68FC66F495914EF0FCEF9681C8B3DD02662ADB996CC51C98 |
|
CONTENT
ssdeep
|
768:TkAxGgO1KYKQK1KZK+3VkOLrNU0n0wovMgv/Zv/juiulNwpZ3yHPL43VFf8yJhnv:TkAMNUGbzNU6L4l3Ctan |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89c9a2e6a2e9ab63 |
|
VISUAL
aHash
|
ffff181800000000 |
|
VISUAL
dHash
|
2332323204000001 |
|
VISUAL
wHash
|
fffffa18000000ff |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
2332323204000001 |
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 1958 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.