Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122530AA29380117D60038BE4F664F779B06BE3DAF726C6E893FD05E16786CACCC55894 |
|
CONTENT
ssdeep
|
768:YsiGZtdDF6iAbK/YgeR0UfZs8p60IJ0aiZsTpJfUe9tdDMsIRilCOLLMRWNoccYi:YkPYMJA3Iu2VJfUejKiLeWNz51CN2azB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d862b8a87eea0f8a |
|
VISUAL
aHash
|
c16038e0c038fcfc |
|
VISUAL
dHash
|
3394610201f0b030 |
|
VISUAL
wHash
|
c1e238e0c078fefc |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
9220144c4c112492,3394610201f0b030 |
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.