Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174A15100C2495E0DA68614C4F3B06D4BE0D389D9C7346AC4B6E6823FADECDD5A865ACC |
|
CONTENT
ssdeep
|
96:Ju7MdGK9jaGSNpGHYjHY9NBd5dfw+9PZ6kav:g7CGKZS2swNf5Ikav |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9898836367637cd |
|
VISUAL
aHash
|
3c3c380000001818 |
|
VISUAL
dHash
|
f1f3f2d0f0f0f0f0 |
|
VISUAL
wHash
|
7f7f7c3800187c38 |
|
VISUAL
colorHash
|
33007000040 |
|
VISUAL
cropResistant
|
8ecc8e96f8cad071,f1f3f2d0f0f0f0f0 |
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 104 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.