Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDC2A73431462A3F620B8AF1B521BB6E70AEE349D653850CF3BC41632BD9CD5C972765 |
|
CONTENT
ssdeep
|
384:Xd9hNvQRBVVC6q/hxs8lhtloz5GNXtEJDmFSr+6:XJMVeh/htuz5GBlFT6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9daa9daa8daa8c8 |
|
VISUAL
aHash
|
bd00000000000003 |
|
VISUAL
dHash
|
6100000000000007 |
|
VISUAL
wHash
|
ffff000003030303 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
6100000000000007 |
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 522 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.
| ID | Portuguese | English | Trigger |
|---|---|---|---|