Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1728319A43A59F5665AF3439310DF1503B378562B140E4D206350FCAEB6BCC9BA0A7FDA |
|
CONTENT
ssdeep
|
1536:MTVK5BWIqHxh8L6MmbXhjaPnQKR+96mujHFq/:MTjvmL6/btn96/HFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccc93327663333cc |
|
VISUAL
aHash
|
c33c3c1810081818 |
|
VISUAL
dHash
|
87f0b0a0a0103030 |
|
VISUAL
wHash
|
fffc7c7c18181818 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
87f0b0a0a0103030 |
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 442 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.