Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B52E7F27004E5AF2713CFE0F0BBB05EB057E1AE8D99E841C5A69A9457D4DE28C9C942 |
|
CONTENT
ssdeep
|
384:qLfWWVwktKxG0qtgGhrycd4DgyEIkLkeFnKD/31Fgv0xWfE:qLfWWVwktKA0qOGhrycd4Dgy34keFngT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc33cccc333399 |
|
VISUAL
aHash
|
1818181818180000 |
|
VISUAL
dHash
|
34b21232b2100810 |
|
VISUAL
wHash
|
3c3c3c3cfce4c0c0 |
|
VISUAL
colorHash
|
380000080c0 |
|
VISUAL
cropResistant
|
8a2a2a9432d4d4d4,34b21232b2100810 |
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 71 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.