Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19892DEA99120013A81574DE77871135E10EED14DDC0BAAE99FB843E76FD7E81A807B8B |
|
CONTENT
ssdeep
|
384:nBqj6f6f6f6f6sNHONiLeufeSKzRUUeFUeFUeFUeyYeeiAp8Ts:niiiisNHONRufeSYRUUeFUeFUeFUeyY7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e0ec7f1f1f0180f |
|
VISUAL
aHash
|
7f1f1f1f3f7f7f3f |
|
VISUAL
dHash
|
8068e8a860e0e060 |
|
VISUAL
wHash
|
3010101000001010 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8068e8a860e0e060,0008103212100800,aaca94949494d4f4 |
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 22 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain