Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD42737122142D3E91178BA8F2A4B76961DBE35DD90FD519B0BC026747CBCC1AC63AA8 |
|
CONTENT
ssdeep
|
192:uMjanbyjv7O+XJ+JfMg6P8xc6PWT6PLJ+n+FI4ce/Kkp:JjanGjR+Jkg6KOml+n+F5rp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
940184fcd4fe957c |
|
VISUAL
aHash
|
3f00023ec0c0c0ff |
|
VISUAL
dHash
|
e4c3da5822202020 |
|
VISUAL
wHash
|
3f00023eccccccff |
|
VISUAL
colorHash
|
07600018000 |
|
VISUAL
cropResistant
|
e4c3da5822202020 |
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 12 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.