Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13AC3E671B144753340074FE8FA78EE88B3B7F66ACF487256A2D4537562C7C61B80A9AC |
|
CONTENT
ssdeep
|
1536:xvTgUk7rvGQEj5mtrZMk7Rvi3390PZcljO62eC++SeSRjkjAoGoyomouogo2oqoc:RcUk7rOQ1ZMk7RosGFei9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a05f1ed2d2d2c2da |
|
VISUAL
aHash
|
ff03436363634703 |
|
VISUAL
dHash
|
c78686869e869e9e |
|
VISUAL
wHash
|
ff03436363674703 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
c78686869e869e9e,cc8e96eab0ba2ba2,c3c3e7e5c7e5e7c7 |
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 7 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 2 other scans for this domain