Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5E235786843783FA2838BE55636936EF3834641DF638A8216F083B95FC6D89CF15169 |
|
CONTENT
ssdeep
|
384:7B0U5fwDX5Ja5K1koTtorRbzIUn6BSMdR0UYWLd479u8TG:7XV8X5JCiLTtorRbzIBB/dRR5Ld479uP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc29d6935838d2ac |
|
VISUAL
aHash
|
ffc38181c3fffffe |
|
VISUAL
dHash
|
3027070723382230 |
|
VISUAL
wHash
|
df81818181cf9fdc |
|
VISUAL
colorHash
|
06003000080 |
|
VISUAL
cropResistant
|
3027070723382230,f01a9ade1c2236d4,9acbe25236a6cada |
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 476 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.