Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A5132170C1C19B7B4AA6E1E5D772EB1AA3C2C105DA67134A67FC8B4C4BDBE91CC52314 |
|
CONTENT
ssdeep
|
768:wfe+WFa+5mwgIAKdrYLeD3fedeYLeYr6dmCGFuQukQgPycR6D0mLQHhj+L2j0WCJ:wfewkZydeZY2dmCG4QukQgPycREt+Daz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cc4b3b3cc8c8cb3 |
|
VISUAL
aHash
|
ff00101010978f8f |
|
VISUAL
dHash
|
219030a424241a18 |
|
VISUAL
wHash
|
ff001010d0dfcfcf |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
219030a424241a18 |
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 2734 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.