Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FE2F02068C2DC2220EFD9C85571672590BA8304CA5B06C8FAB5D3F65BEFD6DDAB7314 |
|
CONTENT
ssdeep
|
768:5kGVJ6SRCkLzXtLBFVSmF7a1qlrFxippppppp/O2xOyaF0BGT4JRStafe4AIx/jb:5lVJ6SRCk/XtLBFVSmF7a1qlrFxipppP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
84e13371ccdcccb3 |
|
VISUAL
aHash
|
44243c3c3c1c0e00 |
|
VISUAL
dHash
|
8c48f4e4f4a44c8c |
|
VISUAL
wHash
|
462e3e3e7e1e2e04 |
|
VISUAL
colorHash
|
38003000240 |
|
VISUAL
cropResistant
|
8c48f4e4f4a44c8c |
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 966 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.