Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1A4EF68302312BF21B7CAD070B0AF5AE0D2F70BE959F50456ED125A1FCFC62B992675 |
|
CONTENT
ssdeep
|
3072:CsydynvQAxDw4MPorKgkg7LsvZhqBkt7qOtsXiPVn:za+OtsXiPVn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966669933cccc |
|
VISUAL
aHash
|
0118181818180000 |
|
VISUAL
dHash
|
4f3333b3b3315c61 |
|
VISUAL
wHash
|
8798bb5d1d1c1c1d |
|
VISUAL
colorHash
|
38000000600 |
|
VISUAL
cropResistant
|
1b169c7a28f15238,4f3333b3b3315c61 |
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 66 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