Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1812274301055683F22838DF8F2E1B76DD1A7D72AC5579D2CB2ED42A2AFD6D90C856328 |
|
CONTENT
ssdeep
|
192:sAGkZuQvytdK5xMnsidpXidpk91nL3IAHNRrodV:s1kZuQ6PK5CF6q3IAHNRUdV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0d58f2baa3ab0b0 |
|
VISUAL
aHash
|
fffec4c08080c0ff |
|
VISUAL
dHash
|
82629c999898198d |
|
VISUAL
wHash
|
fffec4c0c000c0ff |
|
VISUAL
colorHash
|
06601000240 |
|
VISUAL
cropResistant
|
82629c999898198d,06867c7931717953 |
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 12 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