Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14055157AEC0C5A09707675CDE3DC0D8FE995F357E72218E696C5CF31818A818B82A97C |
|
CONTENT
ssdeep
|
3072:Zkfbo8chNQDu0q7hNQlu03hNQ5u0KxH0iXXh:Zkfs8GOx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e333164b1e196b36 |
|
VISUAL
aHash
|
00e3c3effff9ffff |
|
VISUAL
dHash
|
390f8e1e2b2b2d0c |
|
VISUAL
wHash
|
00c3c3c38781cfff |
|
VISUAL
colorHash
|
06000600018 |
|
VISUAL
cropResistant
|
190f8f1c2b2b2c0c,0418597939795804,949c988d8d89da9e |
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 84 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.
Found 1 other scan for this domain