Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6D21BF9639493F8904387F4ED75B835F46229FCEA22CE4CD3E82D62768086D9C55C86 |
|
CONTENT
ssdeep
|
384:14O9fdqKMlRUHvk7GgrRnre1ihtVXbJmWBuBaGPuIKJvXsKMlLd7:14O9lClR/dr1rOgtVXPB/zvIlR7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9989ac2cb9aba6a6 |
|
VISUAL
aHash
|
9b183c1c0c000018 |
|
VISUAL
dHash
|
33b0613a1a040030 |
|
VISUAL
wHash
|
ffff3c3c1800303c |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
33b0613a1a040030 |
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 921 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.