Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAE19B3154262237A2274DE571E8A76F32D39A0DDD6B2454B7F883BC07DAFA0C93A550 |
|
CONTENT
ssdeep
|
192:TmNoMAMfa38/y9aVAX7Bee6DbeerjheejeeuFu:YJBCs/yN7Bee6feerteejeeuc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccccb3999866cccc |
|
VISUAL
aHash
|
ff3c383c18180000 |
|
VISUAL
dHash
|
3322606032320c10 |
|
VISUAL
wHash
|
ffffbe3c3c180000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3322606032320c10 |
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 519 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.