Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14982FA66E32523B44A8243EEFF2312FAB1024195D2166B8CD378821CB18DDEEC939DC5 |
|
CONTENT
ssdeep
|
384:QAoUZHuNoBzNacRa7u/kKe+smMpBZ7eg/B:3oM2c0zrm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a752a55aa55ab |
|
VISUAL
aHash
|
03013f7f7f0f3f3a |
|
VISUAL
dHash
|
8e3dfdc6c17df6c2 |
|
VISUAL
wHash
|
03003f3f3f070f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8e3dfdc6c17df6c2 |
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 491 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.