Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16312A4302080583F162345A5B4D1F31B8286D34DC66BFDB9F6DC02BB67EAE90C4779A6 |
|
CONTENT
ssdeep
|
96:TGTkFLj7wjgv9qIYkvtD8y2Wk60/AR88x4fNufhXRLYPqZzcfkNIIa:aIFLj0Mv9rYkt0bARR4fMf3YPqqfsIj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b42f4b30b4c43c9f |
|
VISUAL
aHash
|
0000077767060890 |
|
VISUAL
dHash
|
3e7b6eccccacd021 |
|
VISUAL
wHash
|
820027776746fef8 |
|
VISUAL
colorHash
|
31e00000000 |
|
VISUAL
cropResistant
|
ea328e8c06068c8e,6445a9acbcb95564,3e7b6eccccacd021 |
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 13 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