Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA81A7713040DEBB0A638BA7F0D0B55D9917A22EEA76DC85D1DA417B26C0FF6C81038E |
|
CONTENT
ssdeep
|
96:TGG9dZucWqCs6+l67RcCAAa9Cqvwuk4bw:aG9dZuZ1s0RcCBECxoM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c7233d9cc2699d9 |
|
VISUAL
aHash
|
c0c0001818180303 |
|
VISUAL
dHash
|
00081432b2320e16 |
|
VISUAL
wHash
|
e0e0f8d83b3f0707 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
00081432b2320e16 |
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 185 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.