Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B522B96053051D2A7357CAACB1E2576E626AD30DC60B05BC56DD02F29BCFCA8D4BE3C8 |
|
CONTENT
ssdeep
|
192:6dpAFv/oWwcPKqWLziHHfXQ2JegwviP2UlgEP9qi+qw73bLcMpmV91NQTM:68F4DcaLb2c9vil1r+q6feNQg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999c36359d2636b1 |
|
VISUAL
aHash
|
1a18181818000000 |
|
VISUAL
dHash
|
b63332b2b2100400 |
|
VISUAL
wHash
|
5e1818181c0400ff |
|
VISUAL
colorHash
|
38006200000 |
|
VISUAL
cropResistant
|
b63332b2b2100400 |
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 217 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.