Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194D3B571F220315E5633D3CA75E2DF8EE223F58CDB22A258EE90912B66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:jL3cfdMU1Zg7yTg9dlALbaSOb2NBOYGKKDKS4vThDMeOpgl21ZpuvsfyaIcQh6sd:/YrwE771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a67530b182d4dd1f |
|
VISUAL
aHash
|
c24190e725efb7d7 |
|
VISUAL
dHash
|
0e95248d4b8e6c25 |
|
VISUAL
wHash
|
9641b86627e227d7 |
|
VISUAL
colorHash
|
07203040001 |
|
VISUAL
cropResistant
|
0e95248d4b8e6c25 |
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 350 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