Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DC3B571F220316E5733C3CA75A2DF9EE263F58CDB32A258EE90912B26D5CB50C259C5 |
|
CONTENT
ssdeep
|
1536:vJ3cfs1Zg7WTORWDdYBSF0depFpxvkmlJMC+il21ZpuvsfyaIcQh6sGQEw1QltA9:BnUi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f460bd118454df8f |
|
VISUAL
aHash
|
a2c3b166279cdabf |
|
VISUAL
dHash
|
4e86258466693265 |
|
VISUAL
wHash
|
22c3b166238cdabf |
|
VISUAL
colorHash
|
07009000002 |
|
VISUAL
cropResistant
|
4e86258466693265 |
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 372 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.