Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AD13A471F1045B3F927709E9F270D758606BE24DCF474889BBAD02E52BE2CE4AD27258 |
|
CONTENT
ssdeep
|
768:jtfcuKuglyb9rFcrpjH6sE+6FomGWpllMqzlM2Tj6SS8gQxoXCKhgwosgxhfJanR:VgS9rFcrURomnMQM2TeSS8gQC1wxBJi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee916a946ec3906b |
|
VISUAL
aHash
|
108fffbfbfbfe1e1 |
|
VISUAL
dHash
|
63397c647074c3e3 |
|
VISUAL
wHash
|
008e7e3e3f3f6060 |
|
VISUAL
colorHash
|
021c0000000 |
|
VISUAL
cropResistant
|
63397c647074c3e3,4580000000100830 |
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 229 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.