Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12242C4F541845BB7124357A0F637A7AAB281C185C35BE70472F853E7BFD8C66CCA2289 |
|
CONTENT
ssdeep
|
192:268/mBQIRGmsc15VhiNVPYy/C/BCeNgcp/bcOxU3Gms31uVhi6VPYy/C/BCeNgc3:268/mBRNjGPZ6J1FTcOK40BPZ6J1FTcw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e1e961e9c1e9616 |
|
VISUAL
aHash
|
b6000018000000ff |
|
VISUAL
dHash
|
6491081030b20088 |
|
VISUAL
wHash
|
bf000018181800ff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
8000908c8c900080,6491081030b20088 |
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 6781 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 |
|---|---|---|---|