Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDB2DA60B54600A712B7E2C4E9697F0EB4E2F31FD29ED5506AF889D51FC3CB9B842670 |
|
CONTENT
ssdeep
|
192:6jRFRc4Gb0NoJkhBrMuAKvqaVRuAseH+BvYIj2PGxYeeyHV5MwZ3:IRzNOkvH+BvN2PGxYeey15MwZ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93b32d39c66ca1e1 |
|
VISUAL
aHash
|
012e6e7e6e0e003c |
|
VISUAL
dHash
|
3bccdceccccc3070 |
|
VISUAL
wHash
|
816e6e7e6e0e183c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3bccdceccccc3070 |
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 100 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.
Pages with identical visual appearance (based on perceptual hash)