Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E723130D05ADD3BD1C381E8A7F4BF2F3296D246DB47134992F843998BCAC90DEA6954 |
|
CONTENT
ssdeep
|
192:mqWg2JCqHJWmQT5emjlg9BOEFEIvBXgGZFXRsvwxqesg6x+y7H9ZFlI:mFUgd7HXpgcqeB6jdZvI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a66659999972e626 |
|
VISUAL
aHash
|
e7e7e7e7ffff00ff |
|
VISUAL
dHash
|
0e0e4dcce08d4910 |
|
VISUAL
wHash
|
c0c0e1e73fe700f2 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
0e0e4dcce08d4910 |
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 29 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.
| ID | Portugués | Inglés | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)