Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A3D8F2E3F473E1E007E3E0E6767575766B35BE6B52CB5847B46DA0AA1184DC88C880 |
|
CONTENT
ssdeep
|
1536:9wOQLrMKBmiLEjuE+az1rMKBXiLEjuE4y:hoQz7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c0c47e3e3771d11 |
|
VISUAL
aHash
|
3f1f1fbfff9fe7ff |
|
VISUAL
dHash
|
e8f8f47030348d10 |
|
VISUAL
wHash
|
1e0f0f1f3f0f00c7 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
e8f8f47030348d10,f7f767e6e6e67723 |
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.