Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10723F79433F8A3F0E006FBF9953230753A5F28FE2A65D5A4C3A15D92C99296C4DA5CC3 |
|
CONTENT
ssdeep
|
768:520Gfn8exN0tZbZBWNgKWbqjP93w0Y+SQXnlAKNg2joMBxG/P8exN0tZbZBR:o89/v0gKWGVw0Y+PlzW2jLjD9/vR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3614f474f617071 |
|
VISUAL
aHash
|
00ffefffffffffff |
|
VISUAL
dHash
|
c24c9e1e4c140831 |
|
VISUAL
wHash
|
0083c3c3e7e3019d |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
649c9e0c4c140031,008122c2ca220100 |
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 535 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.