Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8A30AA07552F62709B386F320DF611372B4122BD41B8930F1A8EA5AA3DDC5BB167F85 |
|
CONTENT
ssdeep
|
1536:yTuoDZKlUuRNka2wblHbJLwLIz9GguGOjjRnY:rLrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7b23cc632c7b838 |
|
VISUAL
aHash
|
2638183c0c3c3800 |
|
VISUAL
dHash
|
cc6878484860600c |
|
VISUAL
wHash
|
ff3c3c3c3c3c3880 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
0200144d4d300882,cc6878484860600c |
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 195 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.