Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8F3BD30F608286B0973D6D9D9B7AF6F7072F30AF21607856AEC925E2ECBE70B545054 |
|
CONTENT
ssdeep
|
1536:Qo17+AwL2EwOOROwGrTn8COIresML+kCkBl9NByWjP9SdoDAF5IZ/0KwPHUSqV3m:dnBlLvCbV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c89c2673989d6277 |
|
VISUAL
aHash
|
00181818f8e00001 |
|
VISUAL
dHash
|
3130303290804041 |
|
VISUAL
wHash
|
99183838f8e0a0e1 |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
3130303290804041 |
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 2307 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.