Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFF46854D722B67F882DA6C0F21A7DFAD1E5139CDD0640A1DA3C42231BD6FF26817C6A |
|
CONTENT
ssdeep
|
1536:ncz+2f2NV+JxzOY+oDAxTI1M/C2dX/cWNKTmrjUeCMLXmitnCmBoGhP6wEeZYrzl:nYzL+K5gFOc7utDsnEUgwC76ZsR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8cdc371c9388cc7 |
|
VISUAL
aHash
|
f9ff9f8fff8787ff |
|
VISUAL
dHash
|
2b43343c343c3cd0 |
|
VISUAL
wHash
|
d9f383871e06071f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
2b43343c343c3cd0 |
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 34 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 | Portugués | Inglés | Trigger |
|---|---|---|---|