Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C3396785240197B018346E2F771BF6EE195C746C7279D99B3FCC25AABCAC04CC5A3A0 |
|
CONTENT
ssdeep
|
768:QkDBhRx6uw/6hwfyoFvy2Gr92vRwyRv52HR9deI:ToZJGRaI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6552f11d0c47d39 |
|
VISUAL
aHash
|
028182f64ec0b381 |
|
VISUAL
dHash
|
a6596ea48c892703 |
|
VISUAL
wHash
|
528186fe6ec5bb81 |
|
VISUAL
colorHash
|
30013000000 |
|
VISUAL
cropResistant
|
a6596ea48c892703 |
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 19 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.