Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19232B6F0638859F15147C3E4DA26377A72BB31FABB45474883E4C7E8EA56999CC89C80 |
|
CONTENT
ssdeep
|
192:VnUnOmfcuvIKip1G0ZX41GdgXKR+QTzlP9pD7HQoE7CFoA//:5UBavUQTBPvnHQkH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc66299933339b |
|
VISUAL
aHash
|
383c3c1818000000 |
|
VISUAL
dHash
|
3030303030101000 |
|
VISUAL
wHash
|
3c3c3c3c3c180000 |
|
VISUAL
colorHash
|
38030000600 |
|
VISUAL
cropResistant
|
3030303030101000 |
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 243362 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)