Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F92CA20B00109B702B3DBC1E6657F59B2ABF35FD126C64636E942A81FD3CB8B865774 |
|
CONTENT
ssdeep
|
192:65VRRUXJhpYDFCFgFoFZFKFDyFODFcM6qDGUJnMjSLIjmCmb:IFUJhpYDFCFgFoFZFKFDyFODFcM2mb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9993339b33666466 |
|
VISUAL
aHash
|
0c0c181818181818 |
|
VISUAL
dHash
|
5a1a323232323238 |
|
VISUAL
wHash
|
2c0c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07038000200 |
|
VISUAL
cropResistant
|
5a1a323232323238 |
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 22 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.