Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B25C93AD0F78B3A0D3E34D4D55D1BC4679BC39727D613F9908A40886B12A6EAD1B4EC |
|
CONTENT
ssdeep
|
3072:36JXop8T4SDItBbUkrOaZackutdk02SD6pfQBciAiHFKb:GXTDObUkrOaZackM/xD6pfkciAiHF6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
836acf6daa927c09 |
|
VISUAL
aHash
|
21616d6f41003f7f |
|
VISUAL
dHash
|
43dbd9ddd3d2c8c4 |
|
VISUAL
wHash
|
21616d6f49003f7f |
|
VISUAL
colorHash
|
38200018000 |
|
VISUAL
cropResistant
|
43dbd9ddd3d2c8c4 |
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 17 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.