Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2C3B571F220315E5733C3CA75A2DF8EE263F98CDB32A258EE90912B66D5CB50C259C5 |
|
CONTENT
ssdeep
|
1536:jL3cfu1Zg7yTg9G3SfI/MIKCb8CXmwKe2MCJvpgl21Zpuvspi5aIIh6sGQSV1Qlu:/TSU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4717f1100cfdf51 |
|
VISUAL
aHash
|
40837e3346fffef2 |
|
VISUAL
dHash
|
dc1644a79c297216 |
|
VISUAL
wHash
|
2083742346df7ef2 |
|
VISUAL
colorHash
|
07209000002 |
|
VISUAL
cropResistant
|
dc1644a79c297216 |
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 285 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.