Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D16251B05206587E820352E295382F0F75F6838AFB431626ABFC575EA7C5C91DF036B9 |
|
CONTENT
ssdeep
|
384:Zj1F75QAQATADqzeJ9mmqMbTiA1AY/MeWlNth0CZTSba7vBcNUcT0LHxDzrJKT:t1F75QAQAT3zeJ9mdMbTiA1AYkeWlNtK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8f16624999bec64 |
|
VISUAL
aHash
|
8000983c18180000 |
|
VISUAL
dHash
|
21043839b3330b60 |
|
VISUAL
wHash
|
c1d0d0fc3d3b09bc |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
89677bd3625a2ab7,21043839b3330b60 |
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 14 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.