Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EF349703252667B566346E6B0F013063275A21BCD174DA4F39CE9EF7BE9CC1A923B90 |
|
CONTENT
ssdeep
|
1536:j3uqnOwl/vi44a7dPqQ6XbU1RSs02ObI/i3UwLVCcuGOjjRnD:j3uq1nn7dPqQ6Kod2OMdW5uGOB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9c963373c9c9962 |
|
VISUAL
aHash
|
4060781a027e0040 |
|
VISUAL
dHash
|
92ccd3b02cd0d09d |
|
VISUAL
wHash
|
7e607c3e3e7e004c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
e7e6e6e4d8989818,92ccd3b02cd0d09d |
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 585 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.