Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14634976C300215AF6173CAD0B4A1BF0AF0E1F30BDE69E605D6EE12556FCBD2269E1674 |
|
CONTENT
ssdeep
|
1536:YQs4oHf4jJ8rBKish6WMItgFpEVtHtH1texApav1t4tBj91Vp/7FUZL8R+7gU0HQ:W4oHf4jJ8rBKish6pKgFXYdUZL8R+75 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3633933389dc |
|
VISUAL
aHash
|
0018383818180000 |
|
VISUAL
dHash
|
0f35737370734551 |
|
VISUAL
wHash
|
85f83d3d3c3c3d04 |
|
VISUAL
colorHash
|
30200038000 |
|
VISUAL
cropResistant
|
e4e1b0d6d47070c8,0f35737370734551 |
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 66 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.