Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E826731E41061A746F3E6C5E460BE5EB2E3E30FC08B86907AED45955FC3DF8B5268A1 |
|
CONTENT
ssdeep
|
384:BOyCnCFXF/FoFMMQ/FLz7YGeImTxqPeg6:BbVNYMMQ/FLz7YGeImTxqPeg6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e766269999999931 |
|
VISUAL
aHash
|
e7e3c3ffe7efffff |
|
VISUAL
dHash
|
4c4d4d100c0c0c04 |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000008081 |
|
VISUAL
cropResistant
|
4c4d4d100c0c0c04,180d291282eb7434 |
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 28 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.