Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F563617170E154BB4183B1E5E626B71931C1AB05CE02AA80FBF987AA4FDBDB1ED37111 |
|
CONTENT
ssdeep
|
768:/nWmpdWUi2XP3sd9S1aK8CLa4Bd1cHFSjovjyQCSCbvWW01Oec8:/nWmpdWUi2f3s3S1aK8uanSjovjyQOD8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c13ca3b73636e11c |
|
VISUAL
aHash
|
42181818187e7e7e |
|
VISUAL
dHash
|
cc32702ae8d4d0d0 |
|
VISUAL
wHash
|
e7181818187e7e7e |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
cc32702ae8d4d0d0 |
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 9 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.