Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8530AA29380117D60038BE4F664F779B06BE3DAF726C6E893FD05E16786CACCC55894 |
|
CONTENT
ssdeep
|
768:YsiGZtdDF6iAbK/YgeR0UfZspp60IJ0aiZszpJfUe9tdDMsIRilCOLLMRWNoccYB:YkPYMJb3Iu21JfUejKiLeWNz51CN2azw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c6c4a8c36eac9f6 |
|
VISUAL
aHash
|
190008070f1f1fe7 |
|
VISUAL
dHash
|
33b6733f3eb3314c |
|
VISUAL
wHash
|
1902010f0f1f3fff |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
9020544c4c112490,33b6733f3eb3314c |
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 119 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.