Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154939560C2A5463701F681D8B5A5CBBA33D00188DE550F585EBD8776BFCEEA6AC0318F |
|
CONTENT
ssdeep
|
768:lNWXmAVnRHZeZAt10eCVoT0oTf7NY7NSGpFY12CSM0eCxRd9t1VMVg3KePWnBpUe:0r0eCV52N6NSGVCZ0eCxQG3lP2HH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ad38fc69a386561 |
|
VISUAL
aHash
|
3c3c001c04000000 |
|
VISUAL
dHash
|
69695971690e1703 |
|
VISUAL
wHash
|
bc3c7cfcbd818181 |
|
VISUAL
colorHash
|
19238000000 |
|
VISUAL
cropResistant
|
8083bab08c8c8890,69695971690e1703 |
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 48 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.