Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118523DB42525D87BA2A782D1B5A08B1F22C2F34ADB83558193FF17E60FD5DF0DC6044A |
|
CONTENT
ssdeep
|
384:qRBfgv/qaCLDFndpqydQAZ4dUmQfyV4xPd+hP:qRBnK2YP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f23b9a8238f8b33 |
|
VISUAL
aHash
|
81183c3400181820 |
|
VISUAL
dHash
|
4db269690cb27069 |
|
VISUAL
wHash
|
ff3c3c3c18183c3c |
|
VISUAL
colorHash
|
38401080000 |
|
VISUAL
cropResistant
|
00003896860c2000,4db269690cb27069 |
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 348 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.