Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117131E303161AF3BA3E782F1B261879A62B9E798C90F9A1553F8036B5FCDDC19F15214 |
|
CONTENT
ssdeep
|
768:5RN5TDMP6NQAS6h9hFZtMBH6b8Ut2XBq1yKdlqYu0qdxz:nN5TDMP6NQAhj65UtqBgyelFjqdxz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc9b3332333333cc |
|
VISUAL
aHash
|
3c3c7c7c18180000 |
|
VISUAL
dHash
|
f8f0f0f0f0f0f0a0 |
|
VISUAL
wHash
|
7e7e7e7e3c181800 |
|
VISUAL
colorHash
|
30017000000 |
|
VISUAL
cropResistant
|
f8f0f0f0f0f0f0a0 |
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 276531 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.