Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12711022790444A0F4B139DE479D1464C209BC30DCED30A1463FB4B9DAFFBD46DE2A698 |
|
CONTENT
ssdeep
|
24:hRxetYCNtgfsRE0wjYuILqRk2Ns0puzOja:Txetl+D0uIR2oCja |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843da4d6c35acdd1 |
|
VISUAL
aHash
|
57031a006e324677 |
|
VISUAL
dHash
|
8e26b6a8d8e68cd5 |
|
VISUAL
wHash
|
5f031a606e326777 |
|
VISUAL
colorHash
|
31601008000 |
|
VISUAL
cropResistant
|
8e26b6a8d8e68cd5 |
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 20 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)