PYSEC-2026-2342

Vulnerability from pysec - Published: 2026-07-13 15:46 - Updated: 2026-07-13 16:03
VLAI
Details

Summary Amazon Braket SDK is an open-source Python library for interacting with the Amazon Braket quantum computing service, including managing hybrid quantum jobs and retrieving job results. An issue exists where, under certain circumstances, a remote authenticated user with S3 write access to a Braket job output bucket can achieve arbitrary code execution by exploiting insecure deserialization in the job results processing component.

Impact The SDK's deserialize_values() function reads the dataFormat field directly from the job results JSON file without validation. An actor with write access to the victim's S3 job output bucket can modify the dataFormat field in results.json from PLAINTEXT to pickled_v4 and replace dataDictionary values with base64-encoded executable payloads. When the victim calls job.result(), load_job_result(), or load_job_checkpoint() as part of their normal Braket workflow, the SDK calls pickle.loads() on the actor-controlled data, executing arbitrary code with the victim's permissions.

Impacted versions: >= v1.10.0 AND < 1.117.0

Patches This issue has been addressed in amazon-braket-sdk version 1.117.0. We recommend upgrading to the latest version and ensuring any forked or derivative code is patched to incorporate the new fixes.

Workarounds If users cannot upgrade immediately:

  1. Restrict S3 bucket policies on the Braket job output buckets to enforce least-privilege access, ensuring only trusted principals have s3:PutObject permissions. This limits an an actor's ability to plant an executable payload.
  2. Validate the dataFormat field in job result metadata before calling job.result(). Refuse to process results where the format is pickled_v4 if it did not explicitly configure pickle serialization.

References If users have any questions or comments about this advisory, amazon-braket-sdk asks that users contact AWS Security via the vulnerability reporting page or directly via email to aws-security@amazon.com. Please do not create a public GitHub issue.

Severity
7.1 (High)
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
7.5 (High)
CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
Impacted products
Name purl
amazon-braket-sdk pkg:pypi/amazon-braket-sdk
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "amazon-braket-sdk",
        "purl": "pkg:pypi/amazon-braket-sdk"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "1.10.0"
            },
            {
              "fixed": "1.117.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "1.10.0",
        "1.100.0",
        "1.100.1",
        "1.101.0",
        "1.101.0.post0",
        "1.102.0",
        "1.102.1",
        "1.102.10",
        "1.102.2",
        "1.102.3",
        "1.102.4",
        "1.102.5",
        "1.102.6",
        "1.102.7",
        "1.102.8",
        "1.102.9",
        "1.103.0",
        "1.104.0",
        "1.104.1",
        "1.105.0",
        "1.106.0",
        "1.106.1",
        "1.106.2",
        "1.106.3",
        "1.106.4",
        "1.106.5",
        "1.107.0",
        "1.108.0",
        "1.108.1",
        "1.109.0",
        "1.11.0",
        "1.11.1",
        "1.110.0",
        "1.110.1",
        "1.111.0",
        "1.111.1",
        "1.111.2",
        "1.112.0",
        "1.112.1",
        "1.113.0",
        "1.113.1",
        "1.114.0",
        "1.115.0",
        "1.116.0",
        "1.12.0",
        "1.13.0",
        "1.14.0",
        "1.14.0.post0",
        "1.15.0",
        "1.16.0",
        "1.16.1",
        "1.17.0",
        "1.18.0",
        "1.18.0.post0",
        "1.18.1",
        "1.18.2",
        "1.19.0",
        "1.20.0",
        "1.21.0",
        "1.21.1",
        "1.22.0",
        "1.23.0",
        "1.23.1",
        "1.23.2",
        "1.24.0",
        "1.25.0",
        "1.25.1",
        "1.25.1.post0",
        "1.25.2",
        "1.26.0",
        "1.26.1",
        "1.26.2",
        "1.27.0",
        "1.27.1",
        "1.28.0",
        "1.28.1",
        "1.29.0",
        "1.29.0.post0",
        "1.29.1",
        "1.29.2",
        "1.29.3",
        "1.29.4",
        "1.30.0",
        "1.30.1",
        "1.30.2",
        "1.31.0",
        "1.31.1",
        "1.32.0",
        "1.32.1",
        "1.32.1.post0",
        "1.33.0",
        "1.33.0.post0",
        "1.33.1",
        "1.33.2",
        "1.34.0",
        "1.34.1",
        "1.34.2",
        "1.34.3",
        "1.34.3.post0",
        "1.35.0",
        "1.35.1",
        "1.35.2",
        "1.35.3",
        "1.35.4",
        "1.35.4.post0",
        "1.35.5",
        "1.36.0",
        "1.36.1",
        "1.36.2",
        "1.36.2.post0",
        "1.36.3",
        "1.36.4",
        "1.36.5",
        "1.37.0",
        "1.37.1",
        "1.38.0",
        "1.38.1",
        "1.38.2",
        "1.38.3",
        "1.39.0",
        "1.39.1",
        "1.40.0",
        "1.41.0",
        "1.42.0",
        "1.42.1",
        "1.42.2",
        "1.43.0",
        "1.44.0",
        "1.45.0",
        "1.46.0",
        "1.47.0",
        "1.48.0",
        "1.48.1",
        "1.49.0",
        "1.49.1",
        "1.49.1.post0",
        "1.50.0",
        "1.51.0",
        "1.52.0",
        "1.53.0",
        "1.53.0.post0",
        "1.53.1",
        "1.53.2",
        "1.53.3",
        "1.53.4",
        "1.54.0",
        "1.54.1",
        "1.54.2",
        "1.54.3",
        "1.54.3.post0",
        "1.55.0",
        "1.55.1",
        "1.55.1.post0",
        "1.56.0",
        "1.56.1",
        "1.56.2",
        "1.57.0",
        "1.57.1",
        "1.57.2",
        "1.58.0",
        "1.58.1",
        "1.59.0",
        "1.59.1",
        "1.59.1.post0",
        "1.59.2",
        "1.60.2",
        "1.61.0",
        "1.61.0.post0",
        "1.62.0",
        "1.62.1",
        "1.63.0",
        "1.64.0",
        "1.64.1",
        "1.64.2",
        "1.65.0",
        "1.65.1",
        "1.66.0",
        "1.67.0",
        "1.68.0",
        "1.68.1",
        "1.68.2",
        "1.68.3",
        "1.69.0",
        "1.69.1",
        "1.70.0",
        "1.70.1",
        "1.70.2",
        "1.70.3",
        "1.71.0",
        "1.72.0",
        "1.72.1",
        "1.72.2",
        "1.73.0",
        "1.73.1",
        "1.73.2",
        "1.73.3",
        "1.74.0",
        "1.74.1",
        "1.75.0",
        "1.76.0",
        "1.76.1",
        "1.76.2",
        "1.76.3",
        "1.77.0",
        "1.77.1",
        "1.77.2",
        "1.77.3",
        "1.77.3.post0",
        "1.77.4",
        "1.77.5",
        "1.77.6",
        "1.78.0",
        "1.79.0",
        "1.79.1",
        "1.80.0",
        "1.80.1",
        "1.81.0",
        "1.81.1",
        "1.82.0",
        "1.83.0",
        "1.84.0",
        "1.85.0",
        "1.86.0",
        "1.86.1",
        "1.87.0",
        "1.87.1",
        "1.88.0",
        "1.88.1",
        "1.88.2",
        "1.88.2.post0",
        "1.88.3",
        "1.89.0",
        "1.89.1",
        "1.90.0",
        "1.90.1",
        "1.90.2",
        "1.91.0",
        "1.91.1",
        "1.91.2",
        "1.92.0",
        "1.93.0",
        "1.94.0",
        "1.95.0",
        "1.96.0",
        "1.96.1",
        "1.97.0",
        "1.98.0",
        "1.99.0"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-9291",
    "GHSA-g697-2xrc-gc46"
  ],
  "details": "**Summary**\nAmazon Braket SDK is an open-source Python library for interacting with the Amazon Braket quantum computing service, including managing hybrid quantum jobs and retrieving job results. An issue exists where, under certain circumstances, a remote authenticated user with S3 write access to a Braket job output bucket can achieve arbitrary code execution by exploiting insecure deserialization in the job results processing component.\n\n**Impact**\nThe SDK\u0027s deserialize_values() function reads the dataFormat field directly from the job results JSON file without validation. An actor with write access to the victim\u0027s S3 job output bucket can modify the dataFormat field in results.json from PLAINTEXT to pickled_v4 and replace dataDictionary values with base64-encoded executable payloads. When the victim calls job.result(), load_job_result(), or load_job_checkpoint() as part of their normal Braket workflow, the SDK calls pickle.loads() on the actor-controlled data, executing arbitrary code with the victim\u0027s permissions.\n\n**Impacted versions**: \u003e= v1.10.0 AND \u003c 1.117.0\n\n**Patches**\nThis issue has been addressed in amazon-braket-sdk version 1.117.0. We recommend upgrading to the latest version and ensuring any forked or derivative code is patched to incorporate the new fixes.\n\n**Workarounds**\nIf users cannot upgrade immediately:\n\n1. Restrict S3 bucket policies on the Braket job output buckets to enforce least-privilege access, ensuring only trusted principals have s3:PutObject permissions. This limits an an actor\u0027s ability to plant an executable payload.\n2. Validate the dataFormat field in job result metadata before calling job.result(). Refuse to process results where the format is pickled_v4 if it did not explicitly configure pickle serialization.\n\n**References**\nIf users have any questions or comments about this advisory, amazon-braket-sdk asks that users contact AWS Security via the [vulnerability reporting page](https://aws.amazon.com/security/vulnerability-reporting) or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue.",
  "id": "PYSEC-2026-2342",
  "modified": "2026-07-13T16:03:21.334783Z",
  "published": "2026-07-13T15:46:23.987703Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/amazon-braket/amazon-braket-sdk-python/security/advisories/GHSA-g697-2xrc-gc46"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-9291"
    },
    {
      "type": "WEB",
      "url": "https://aws.amazon.com/security/security-bulletins/2026-036-aws"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/amazon-braket/amazon-braket-sdk-python"
    },
    {
      "type": "WEB",
      "url": "https://github.com/amazon-braket/amazon-braket-sdk-python/releases/tag/v1.117.0"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/amazon-braket-sdk"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-g697-2xrc-gc46"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:H/AT:P/PR:L/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "amazon-braket-sdk vulnerable to Insecure Deserialization via pickle.loads()"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Loading timeline…




    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.