Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8A4A6B0F220316E6637C3CF65B69B9ED233B54CCB32A548FE94A12F2AD5C751D12984 |
|
CONTENT
ssdeep
|
1536:o3cfzj9R41ZgN/TARKzww5ieFTxt7nGw7hbTv8O48q8v8o8uV80n818w8G8hn85f:GQj9vv3DLvIV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c63c71c4963947 |
|
VISUAL
aHash
|
ffe7ffffc3c1c381 |
|
VISUAL
dHash
|
422b2b200b131317 |
|
VISUAL
wHash
|
fe81dbffc1818181 |
|
VISUAL
colorHash
|
07080240001 |
|
VISUAL
cropResistant
|
422b2b200b131317,d1c90f26b2ce7e7c,aaf672a2b2b2aaaa,d1c10f3f3e9f175c,91a10717b0845c7c,9181070730945c6c |
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 684 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.
Found 2 other scans for this domain