Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110B44374E220314D5737C39F25B59F99C2B3E98CC733665CAEE4B11F2A99C620E129E4 |
|
CONTENT
ssdeep
|
1536:43TPHg1ZgHITfREzwwfs2FTxt7nGwHJSBifH7pu/ruCPwHoOrQqQltAH6PhWvtX2:WbOU+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd774451cdd411c5 |
|
VISUAL
aHash
|
ba81c3bf8bc7fff3 |
|
VISUAL
dHash
|
422b2b23131b2406 |
|
VISUAL
wHash
|
2281839fa983ffa3 |
|
VISUAL
colorHash
|
070000c0003 |
|
VISUAL
cropResistant
|
422b2b23131b2406 |
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 1 other scan for this domain