Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B43C8A07186603A23A7C2CB9357795EE0D1D1CFDB9515C8D7F4C22C86F1E80FAE16A9 |
|
CONTENT
ssdeep
|
768:kPo3owooLo/RTJ3iWFWAo/5FMrQNcWFmdgsdOyPo:kwY8k/RTJ3iWFWAo/5FMcqzdgsdTo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9ebe7461c143636 |
|
VISUAL
aHash
|
ffffff1818000000 |
|
VISUAL
dHash
|
31038cb2b2323232 |
|
VISUAL
wHash
|
fffffffc18000000 |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
34333300b2b2b2b2,00200461710c0000,b2b2b23232323232 |
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 5 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.