Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17D0365739410243F031367C9B562775DE193930ECE9B04A8B2E98B871BE3ED6991DC2E |
|
CONTENT
ssdeep
|
768:K+ZkvhtQIm+f3n+PfrNkw2eboCx0Ku3SUyzjT2SlSUyzjd1/y7KJrInEnaz8+1Gn:K+ZkvhtQIm+f3n+PfrNkw2ebo5KWSUyE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac52b93b1c36e352 |
|
VISUAL
aHash
|
007070321003031b |
|
VISUAL
dHash
|
06e0c4e4b49307b3 |
|
VISUAL
wHash
|
e37874767073031b |
|
VISUAL
colorHash
|
380c0006000 |
|
VISUAL
cropResistant
|
0012094b214b3770,608c960423030303,06e0c4e4b49307b3 |
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 817 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 3 other scans for this domain