Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Python interface into mercury's network protocol fingerprinting and analysis functionality
The goal of the mercury-python
package is to expose mercury's network protocol analysis functionality via python. The cython interface is given in mercury.pyx
.
pip install mercury-python
You will first need to build mercury and install cython and optionally wheel:
pip install cython
pip install wheel
Within mercury's src/cython/
directory, Makefile
will build the package based on the makefile target:
make # default build in-place
make wheel # generates pip-installable wheel file
import mercury
libmerc = mercury.Mercury() # initialization for packet parsing
libmerc = mercury.Mercury(do_analysis=True, resources=b'/<path>/<to>/<resources.tgz>') # initialization for analysis
hex_packet = '5254001235020800273a230d08004500...'
libmerc.get_mercury_json(bytes.fromhex(hex_packet))
{
"fingerprints": {
"tls": "tls/(0303)(13011303...)((0000)...)"
},
"tls": {
"client": {
"version": "0303",
"random": "0d4e266cf66416689ded443b58d2b12bb2f53e8a3207148e3c8f2be2476cbd24",
"session_id": "67b5db473da1b71fbca9ed288052032ee0d5139dcfd6ea78b4436e509703c0e4",
"cipher_suites": "130113031302c02bc02fcca9cca8c02cc030c00ac009c013c014009c009d002f0035000a",
"compression_methods": "00",
"server_name": "content-signature-2.cdn.mozilla.net",
"application_layer_protocol_negotiation": [
"h2",
"http/1.1"
],
"session_ticket": ""
}
},
"src_ip": "10.0.2.15",
"dst_ip": "13.249.64.25",
"protocol": 6,
"src_port": 32972,
"dst_port": 443,
}
There are two methods to invoke mercury's analysis functionality. The first operates on the full hex packet:
libmerc.analyze_packet(bytes.fromhex(hex_packet))
{
"tls": {
"client": {
"server_name": "content-signature-2.cdn.mozilla.net"
}
},
"fingerprint_info": {
"status": "labeled",
"type": "tls",
"str_repr": "tls/1/(0303)(13011303...)[(0000)...]"
},
"analysis": {
"process": "firefox",
"score": 0.9992411956652674,
"malware": false,
"p_malware": 8.626882751003134e-06
}
The second method operates directly on the data features (network protocol fingerprint string and destination context):
libmerc.perform_analysis('tls/1/(0303)(13011303...)[(0000)...]', 'content-signature-2.cdn.mozilla.net', '13.249.64.25', 443)
{
"fingerprint_info": {
"status": "labeled"
},
"analysis": {
"process": "firefox",
"score": 0.9992158715704546,
"malware": false,
"p_malware": 8.745628825189023e-06
}
}
Parsing base64 representations of certificate data:
b64_cert = 'MIIJRDC...'
mercury.parse_cert(b64_cert)
output:
{
"version": "02",
"serial_number": "00eede6560cd35c0af02000000005971b7",
"signature_identifier": {
"algorithm": "sha256WithRSAEncryption"
},
"issuer": [
{
"country_name": "US"
},
{
"organization_name": "Google Trust Services"
},
{
"common_name": "GTS CA 1O1"
}
],
...
Parsing base64 representations of DNS data:
b64_dns = '1e2BgAAB...'
mercury.parse_dns(b64_dns)
output:
{
"response": {
"question": [
{
"name": "live.github.com.",
"type": "AAAA",
"class": "IN"
}
],
...
FAQs
Python interface into mercury's network protocol fingerprinting and analysis functionality
We found that mercury-python demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.