Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2D3B571F220315E5633C3CA75E2DF8EE263F58CDB32A258EE90912B66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:jL3cfdMsP1Zg7yTg9d5c4kocXtuaAhMUtrY36PNZ2pgl21ZpuvsfyaIcQh6sGQSe:/Y3V071 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e72531755649c9c9 |
|
VISUAL
aHash
|
e003f9a4e39fe9ff |
|
VISUAL
dHash
|
5a56e364ca22535c |
|
VISUAL
wHash
|
22037386635ce1ff |
|
VISUAL
colorHash
|
0700a040001 |
|
VISUAL
cropResistant
|
5a56e364ca22535c |
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 355 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.