Vulnerability-Lookup

GHSA-9C2P-JFMW-FGW7

Vulnerability from github – Published: 2022-08-19 00:00 – Updated: 2022-08-24 00:00

Details

** DISPUTED ** An issue was discovered in Qualys Cloud Agent 4.8.0-49. It writes "ps auxwwe" output to the /var/log/qualys/qualys-cloud-agent-scan.log file. This may, for example, unexpectedly write credentials (from environment variables) to disk in cleartext. NOTE: there are no common circumstances in which qualys-cloud-agent-scan.log can be read by a user other than root; however, the file contents could be exposed through site-specific operational practices. The vendor does NOT characterize this as a vulnerability because the ps data collection is intentional, and would only capture credentials on a machine that was already affected by the CWE-214 weakness.

Severity

7.5 (High)


                  
                    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

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  "affected": [],
  "aliases": [
    "CVE-2022-29550"
  ],
  "database_specific": {
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    "github_reviewed_at": null,
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    "severity": "HIGH"
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  "id": "GHSA-9c2p-jfmw-fgw7",
  "modified": "2022-08-24T00:00:31Z",
  "published": "2022-08-19T00:00:23Z",
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      "url": "https://blog.qualys.com/product-tech/2022/08/15/qualys-security-updates-cloud-agent-for-linux"
    },
    {
      "type": "WEB",
      "url": "https://blog.qualys.com/vulnerabilities-threat-research"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/168367/Qualys-Cloud-Agent-Arbitrary-Code-Execution.html"
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}

CVE-2022-29550 (GCVE-0-2022-29550)

Vulnerability from cvelistv5 – Published: 2022-08-18 12:16 – Updated: 2024-08-03 06:26 Disputed

Summary

An issue was discovered in Qualys Cloud Agent 4.8.0-49. It writes "ps auxwwe" output to the /var/log/qualys/qualys-cloud-agent-scan.log file. This may, for example, unexpectedly write credentials (from environment variables) to disk in cleartext. NOTE: there are no common circumstances in which qualys-cloud-agent-scan.log can be read by a user other than root; however, the file contents could be exposed through site-specific operational practices. The vendor does NOT characterize this as a vulnerability because the ps data collection is intentional, and would only capture credentials on a machine that was already affected by the CWE-214 weakness

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
https://blog.qualys.com/vulnerabilities-threat-research	x_refsource_MISC
https://blog.qualys.com/product-tech/2022/08/15/q…	x_refsource_MISC
http://seclists.org/fulldisclosure/2022/Sep/10	mailing-listx_refsource_FULLDISC
http://packetstormsecurity.com/files/168367/Qualy…	x_refsource_MISC

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.