Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F636A1B690BA8ABF53BD5DCF406AE05FA52E30A82AC86F165D441C35EE7C30716B47C |
|
CONTENT
ssdeep
|
1536:AzBH8BxXUFpnm60tZVoDik2iDSP5TuuIdpijMoDNOU03DvYJxM+1E7P3iBgzZRWl:sskagY5wE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0070ff8f0870ff0 |
|
VISUAL
aHash
|
000000c7e7c7ff85 |
|
VISUAL
dHash
|
0502f68c8cac8015 |
|
VISUAL
wHash
|
000000e7e7d7ffbd |
|
VISUAL
colorHash
|
08000000e00 |
|
VISUAL
cropResistant
|
1428949694142000,0502f68c8cac8015 |
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 69 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)