Vulnerability-Lookup

GHSA-5F4R-G29M-JW8Q

Vulnerability from github – Published: 2022-05-13 01:10 – Updated: 2022-05-13 01:10

Details

Incorrect access control in RDP Level 1 on STMicroelectronics STM32F0 series devices allows physically present attackers to extract the device's protected firmware via a special sequence of Serial Wire Debug (SWD) commands because there is a race condition between full initialization of the SWD interface and the setup of flash protection.

Severity

4.6 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2017-18347"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-362"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2018-09-12T15:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Incorrect access control in RDP Level 1 on STMicroelectronics STM32F0 series devices allows physically present attackers to extract the device\u0027s protected firmware via a special sequence of Serial Wire Debug (SWD) commands because there is a race condition between full initialization of the SWD interface and the setup of flash protection.",
  "id": "GHSA-5f4r-g29m-jw8q",
  "modified": "2022-05-13T01:10:26Z",
  "published": "2022-05-13T01:10:26Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-18347"
    },
    {
      "type": "WEB",
      "url": "https://community.st.com/s/question/0D50X00009Xke7aSAB/readout-protection-cracked-on-stm32"
    },
    {
      "type": "WEB",
      "url": "https://www.aisec.fraunhofer.de/en/FirmwareProtection.html"
    },
    {
      "type": "WEB",
      "url": "https://www.usenix.org/conference/woot17/workshop-program/presentation/obermaier"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:P/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-18347 (GCVE-0-2017-18347)

Vulnerability from cvelistv5 – Published: 2018-09-12 15:00 – Updated: 2024-09-17 01:36

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://community.st.com/s/question/0D50X00009Xke…	x_refsource_MISC
https://www.usenix.org/conference/woot17/workshop…	x_refsource_MISC
https://www.aisec.fraunhofer.de/en/FirmwareProtec…	x_refsource_MISC

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          },
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            "url": "https://www.aisec.fraunhofer.de/en/FirmwareProtection.html"
          }
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

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.