Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C573A53541C84A3FB72346F8F211F7B6508ED39AE39B898CD3B852F25786CC4A927594 |
|
CONTENT
ssdeep
|
384:0hLgx+nWr+9svcPQslRpm7c7fT9menBmxraf6i3LuXrar9SJX32v:ULgIn7PQKLm7ub9UOcJmv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc611c8fc29ee23c |
|
VISUAL
aHash
|
000000ffffff9f9f |
|
VISUAL
dHash
|
5c928a8822903331 |
|
VISUAL
wHash
|
00000077ffdf9b9f |
|
VISUAL
colorHash
|
070000081c0 |
|
VISUAL
cropResistant
|
92928f0040103331,0080010101418200,6d9299d2928b9ecd,0f23456151456307,c4f83996f53b0f06 |
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 91 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.