Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E62FBB5E21423B59A4247E6FF2132E9F51350AE9B527F9CC228C14CF29D9FF89118C6 |
|
CONTENT
ssdeep
|
192:QoboBOJ579uX9rXRFW7nO2xHUHfZ9aElJxb+krku9cuGRmKbMpBXp7sfgg8gk:Q+oUCeOiUHfZbp9IsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed69929296e0969e |
|
VISUAL
aHash
|
fff991f1fbbffbfe |
|
VISUAL
dHash
|
c81333535363928c |
|
VISUAL
wHash
|
7e8981e18191f3ee |
|
VISUAL
colorHash
|
07000c00018 |
|
VISUAL
cropResistant
|
c81333535363928c,0731297971714d97 |
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 491 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.