Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD3B571F220316E5633C3CA75A2DF8EE263F58CDB32A258EE94912B26D5CB50C259C5 |
|
CONTENT
ssdeep
|
1536:jL3cfi1Zg7yTg9dz2izRo35Iu378wUEjCvXDapgl21Zpuvspi5aIIh6sGQS71Qlu:/lZi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a274d55bd5ce8185 |
|
VISUAL
aHash
|
e6c37fe1661dfd7f |
|
VISUAL
dHash
|
ce17c427ccd169ce |
|
VISUAL
wHash
|
24c376c166056d7f |
|
VISUAL
colorHash
|
0700a000201 |
|
VISUAL
cropResistant
|
ce17c427ccd169ce |
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 506 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.