Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB84C531E310311E5363D38B71E2CB8ED233A948DB23A66CEE94911F67D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:vq3cfJu1Zg7WTORSzcCLYOFC/I7r9CperJCDBWhCz3WGCfFttCfVaOCT6VuCa5vo:oHT7KYw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a63555d153869e8b |
|
VISUAL
aHash
|
26c23f87e1ff77fd |
|
VISUAL
dHash
|
4e1665464ba8ae49 |
|
VISUAL
wHash
|
248037c661fe73b5 |
|
VISUAL
colorHash
|
07201000001 |
|
VISUAL
cropResistant
|
4e1665464ba8ae49 |
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 698 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.