Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBD141729000182B277381A4EFD0FAC89263D349E5145D61A39C81EA1FD3FF9A4B7772 |
|
CONTENT
ssdeep
|
96:6r8/enDxNH7GudRuWFwOt/2Oe3g/vhoI359Net0Y:65LRHIER7er |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc6639993669999 |
|
VISUAL
aHash
|
3c10383818180000 |
|
VISUAL
dHash
|
2830202032321410 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
2830202032321410 |
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 16 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.