Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA53EBA07E53A925319F12CF8227470E32C1DBC8E5437AD95AF0A3245AF9C91FBE7215 |
|
CONTENT
ssdeep
|
768:z9h9/991FpkSgg+RRJF8a3jwxRe229Dl/ZA:dzpkSgg+RRJF8a3jwxRe229DlRA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c31c3cf1393cc3 |
|
VISUAL
aHash
|
007c7c6c6000183c |
|
VISUAL
dHash
|
d8c9c8dcd82050f0 |
|
VISUAL
wHash
|
6c7c6c7e6c003c7c |
|
VISUAL
colorHash
|
38001200030 |
|
VISUAL
cropResistant
|
d8c9c8dcd82050f0 |
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 239652 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.