Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145F277346249093F75578AE8E6A0773DE1BBD28BC61B994CE2FC41A253C7C48CD672E4 |
|
CONTENT
ssdeep
|
768:OFzvVJ7gkO6mga7cJ8f1w10YJYALth7I4l2a/w2EQSZ8:QJj2pi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d121212676d4f |
|
VISUAL
aHash
|
00f3f1f3ffe3e7ff |
|
VISUAL
dHash
|
8c33332348869620 |
|
VISUAL
wHash
|
0081d1f1e7c3c3df |
|
VISUAL
colorHash
|
06006000040 |
|
VISUAL
cropResistant
|
333333334c969620,0000024196966180,078ec5c4d4b48812,100c32b2b2240000 |
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 58 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.