Vulnerability-Lookup

GHSA-F7FR-PCF5-8F29

Vulnerability from github – Published: 2022-05-24 17:00 – Updated: 2022-05-24 17:00

Details

On SHIFT BitBox02 devices, a side channel for the row-based OLED display was found. The power consumption of each row-based display cycle depends on the number of illuminated pixels, allowing a partial recovery of display contents. For example, a hardware implant in the USB cable might be able to leverage this behavior to recover confidential secrets such as the PIN and BIP39 mnemonic. Note: BIP39 secrets are not displayed by default on this device. The side channel is relevant only if the attacker has enough control over the device's USB connection to make power-consumption measurements at a time when secret data is displayed. The side channel is not relevant in other circumstances, such as a stolen device that is not currently displaying secret data.

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{
  "affected": [],
  "aliases": [
    "CVE-2019-18673"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-11-02T17:15:00Z",
    "severity": "LOW"
  },
  "details": "On SHIFT BitBox02 devices, a side channel for the row-based OLED display was found. The power consumption of each row-based display cycle depends on the number of illuminated pixels, allowing a partial recovery of display contents. For example, a hardware implant in the USB cable might be able to leverage this behavior to recover confidential secrets such as the PIN and BIP39 mnemonic. Note: BIP39 secrets are not displayed by default on this device. The side channel is relevant only if the attacker has enough control over the device\u0027s USB connection to make power-consumption measurements at a time when secret data is displayed. The side channel is not relevant in other circumstances, such as a stolen device that is not currently displaying secret data.",
  "id": "GHSA-f7fr-pcf5-8f29",
  "modified": "2022-05-24T17:00:16Z",
  "published": "2022-05-24T17:00:16Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-18673"
    },
    {
      "type": "WEB",
      "url": "https://blog.inhq.net/posts/oled-side-channel-status-summary"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2019-18673 (GCVE-0-2019-18673)

Vulnerability from cvelistv5 – Published: 2019-11-02 16:25 – Updated: 2024-08-05 01:54

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2339 records in the last 180 days details

References

1 reference

URL	Tags
https://blog.inhq.net/posts/oled-side-channel-sta…	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.

Vulnerability timeline

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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.

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