Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D233AF87851F1225EB382A710DF2406B33E261F240D4960F359EECE65B4856B16BFDA |
|
CONTENT
ssdeep
|
768:8uts/lYjFYjZYjhYjsYj1YjwYj4Yj9YjrYj83pPP+y4c7vMlI9UfqzdrRHcyMBWO:8utuVoc7I6rRZQv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b130cb34639a66cf |
|
VISUAL
aHash
|
c3c3c3c3c3c3ffff |
|
VISUAL
dHash
|
96969e9e8e8e0623 |
|
VISUAL
wHash
|
c3c3c3c3c3c301fb |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
96969e9e8e8e0623,61c48282868cd865,be80a0869ea080a2,b3f3ccfe7f8f0100 |
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 106 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