Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D3B571F220315E5633D3CA75A2CF8EE263F58CDB32A258EE94912F26D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:QL3cCD1Zg7mTU90rPV9Qk08v3/qzHksaE4y8L8pgl2+Z1u8sp+jmm4h6sGUS01Qg:CvET |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef7557554244c48b |
|
VISUAL
aHash
|
e480fbe2a9ff19ed |
|
VISUAL
dHash
|
c41ee6044b9463cb |
|
VISUAL
wHash
|
74807bc285f61de5 |
|
VISUAL
colorHash
|
07002040002 |
|
VISUAL
cropResistant
|
c41ee6044b9463cb |
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 524 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.