Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11655037AE80D5A09707775CDE3DC0D8FE995F357E32218E696C5DF31818A818B82A87C |
|
CONTENT
ssdeep
|
3072:zZPfsQXhNSPGEqshNSBGEbhNS5GEPI9ivXw:zZPfsQPf9ug |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2661a5b5b18476b |
|
VISUAL
aHash
|
00e3c3e7f9ffc3ff |
|
VISUAL
dHash
|
390786974b531f0b |
|
VISUAL
wHash
|
00c3c3e3e9fd81cb |
|
VISUAL
colorHash
|
06010000010 |
|
VISUAL
cropResistant
|
390787974b531f0b,0418597939795804,8f1b637332293b1b,34b496f354929235 |
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 82 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.