Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T170E241730196A9FF00D2A3D06371171A62A573D4FA47860787F8470F6F9BEA6CC6583A |
|
CONTENT
ssdeep
|
384:TkbENBXELiy/Y+nPacL2DDbeOQxgYVkvUxCGd6M:VZELk+CuvVkM8GT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97a56c3ab3cd4c82 |
|
VISUAL
aHash
|
3706766e2f000000 |
|
VISUAL
dHash
|
eecccccccc31d4e4 |
|
VISUAL
wHash
|
7f077e0e6f181434 |
|
VISUAL
colorHash
|
300010001c0 |
|
VISUAL
cropResistant
|
eecccccccc31d4e4 |
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 82 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 |
|---|---|---|---|