Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F51B363830D180D2396DE80FD52FB8BE3420219920A9AB83DD411BDD1CDB7196F77D9 |
|
CONTENT
ssdeep
|
48:TGoAAa/V4XvITNmSPlqnQ8RqUXSmSbN336cwVJ7TO0ejW:TGoBA4Xv2Enj3I3EVnei |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33399cccc6c6626 |
|
VISUAL
aHash
|
e7e7a5ffffffffff |
|
VISUAL
dHash
|
08084c1000000000 |
|
VISUAL
wHash
|
010d05010f0f0f0f |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
08084c1000000000 |
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 5285 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.