Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDD24431A040642733B3E9C1E471BF1E7193E30F818A8645AAFD4267BFC7CB579226A5 |
|
CONTENT
ssdeep
|
192:65VRED37cYlyQPKbXe1Z6yWm8rgmZZorovoIfx5pHClRZHClazHClfyf6Kgj/:eu35VKbVZXHCNHCwHCIW/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98cc667699996633 |
|
VISUAL
aHash
|
0000183c3c180000 |
|
VISUAL
dHash
|
2000707171701030 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
8c8c716c40157109,2000707171701030,110030b0b0300001 |
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 23 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.