Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18784D3D837B043F8E942F7FCD11155A2BB4F38FAB96186B5C3E95C0594A21ED8986CC2 |
|
CONTENT
ssdeep
|
1536:+0wYZwUArZwafS3lycfVFPB5+7tOiQr1eKAQdr1MyZ00lK9IuyslhcLiJaesNmzh:mn4JlKAoRQYB0ou4IC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f1ae0c34b381e1f |
|
VISUAL
aHash
|
99ff9f9fbf9fffff |
|
VISUAL
dHash
|
39c6303060608040 |
|
VISUAL
wHash
|
090b0f0f8f8f0f0f |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
39c6303060608040 |
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 43 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.