Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0A2752403481E2DA90787D8D7E57339516DD3C9D32F995CF6BD02B29782E88D837AD8 |
|
CONTENT
ssdeep
|
384:XMp2RQGhaUrSeagE6xvc6xz6xc6xnLKVwQ:Xh6ehE6xvc6xz6xc6xnOVD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
990c6cf36664d9cc |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
12323236181c1c10 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
04101c0c0c1c180c,3250163232323236 |
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 12 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.