Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1036516690254B7A233D6C4C132FF6A7A88F70FC4C68299A6EE41B60ED7C71740AD77 |
|
CONTENT
ssdeep
|
384:2+QTyTfndwAMowofgITH0+caOXb5Z2Yj4S4lnMvXIx3d6E0wUTd6fyYfI2TnDjFB:2+NMzSQO44l93z0Yj/0Qa1ScY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1743c8d673c9963 |
|
VISUAL
aHash
|
027c7878683c183c |
|
VISUAL
dHash
|
c6d0d0d4c4f131e8 |
|
VISUAL
wHash
|
027c6c7c7c7d183c |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
c6d0d0d4c4f131e8 |
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 15 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.