Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14214C922B354C93D1D870AECE3E0AA18264DE346BF2215D9A66861FF63C4DEC91577CC |
|
CONTENT
ssdeep
|
3072:hMwH5lEdvytm4fiwIWcgf6t34f2YIWcsff:hMw/uxo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c284bdb8c6c6c9b9 |
|
VISUAL
aHash
|
ff00207c6c0000f0 |
|
VISUAL
dHash
|
f416c9c9c8890240 |
|
VISUAL
wHash
|
ff00007c7ec0f0fe |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0000547161791a24,d433c9c9c8890240 |
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 748 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.