Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A139030A4A594A3E24F08D2BDB4178F61E7C30CDB170984A3B8C3E45BDFCA5D999B55 |
|
CONTENT
ssdeep
|
384:FJHnnnNZMdB/UFiww1xKeSTslLjfey0AI6WzuKA0uliXebtRQ:JA5UFif1xKelLzfq6KuKA0ueebtRQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f32277993388cccc |
|
VISUAL
aHash
|
e7e7e7e7e7ffe7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d080d4c |
|
VISUAL
wHash
|
0404040427272726 |
|
VISUAL
colorHash
|
07280041000 |
|
VISUAL
cropResistant
|
4d4d4d4d4d080d4c,0501f4dcf4010001,74f9b1f8f1268c38 |
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 124 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.