Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170E3C6603A03682B219F56DFD36B270C61C1D7CAC6532AD4B9F093395EF5DA4BFA6210 |
|
CONTENT
ssdeep
|
1536:ymu8sGgIzmgc+nw8iprQHYsPDrm2p1J55dfvurF9Rk4sHc376lgDkAK:JLvPJE7Ng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b80e5d29bd84675 |
|
VISUAL
aHash
|
ff07001d0c3c0080 |
|
VISUAL
dHash
|
d4973bb998cc4403 |
|
VISUAL
wHash
|
ff030d5d0c7e3c81 |
|
VISUAL
colorHash
|
31006002000 |
|
VISUAL
cropResistant
|
000000000004009d,030c24d4d4240c03,97b3b999d8c44803 |
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 47 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.