Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13703DF21A952EC2742EF98C55172472A32F98309C6031699FEF8D7F597EFC68EA33045 |
|
CONTENT
ssdeep
|
768:hEcmsIx/jd444zh5RCj0lKd1o71utyXeMUf7k:KJsIxB444zhSj0lKdIEtyXez7k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
975476b469842abd |
|
VISUAL
aHash
|
0606076b0f07170b |
|
VISUAL
dHash
|
bcececcada8dfc5b |
|
VISUAL
wHash
|
0e060f6f0f47172f |
|
VISUAL
colorHash
|
19006000080 |
|
VISUAL
cropResistant
|
809ec7c0e0f0f8dc,1381c1e8f8dcdcb0,cc868c0c86e6e260,bcececcada8dfc5b |
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 47 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.