Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T128D3B571F220315E5633C3CA75E2DF8EE223F58CDB22A258EE94912F66D5CB60C259C5 |
|
CONTENT
ssdeep
|
1536:QL3cftK1Zg7mTU90LJAmnjKqEcwyWFMciQUJdKeC6pgl21Z1u8sp+jmm4h6sGUSC:CBL2771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4253d71b55f8589 |
|
VISUAL
aHash
|
82c37ff767fd9d1f |
|
VISUAL
dHash
|
2687e2048e4d312a |
|
VISUAL
wHash
|
828234e267f7c91f |
|
VISUAL
colorHash
|
07001040002 |
|
VISUAL
cropResistant
|
2687e2048e4d312a |
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 290 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.