Vulnerability-Lookup

CVE-2026-92943 (GCVE-0-2026-92943)

Vulnerability from cvelistv5 – Published: 2026-09-17 19:14 – Updated: 2026-09-17 19:57

Title

Improper validation of certificate with host mismatch in AWS IoT Device SDK for Python

Summary

Improper validation of certificate with host mismatch in the MQTT client TLS connection layer in AWS IoT Device SDK for Python 1.5.3 through 1.6.0 on Python 3.7 and later might allow an adversary-in-the-middle actor to impersonate the AWS IoT Core endpoint, read device telemetry, and inject arbitrary MQTT messages that the device processes as authentic, via a certificate issued for an unrelated hostname by a certificate authority present in the device trust store. To remediate this issue, users should upgrade to version 1.6.1.

Severity

8.1 (High)


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

9.2 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-17 19:56 UTC

CWE

CWE-297 - Improper validation of certificate with host mismatch

Assigner

AMZN mitre root

References

4 references

URL	Tags
https://pypi.org/project/AWSIoTPythonSDK/1.6.1/	patchrelease-notes
https://github.com/aws/aws-iot-device-sdk-python/…	patchrelease-notes
https://aws.amazon.com/security/security-bulletin…	vendor-advisory
https://github.com/aws/aws-iot-device-sdk-python/…	release-notes

Impacted products

1 product

Vendor	Product	Version	CPE status
AWS	AWSIoTPythonSDK	Affected: 1.5.3 , ≤ 1.6.0 (custom) cpe:2.3:a:aws:awsiotpythonsdk::::::::

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-92943

Vulnerability from fkie_nvd - Published: 2026-09-17 20:18 - Updated: 2026-09-17 20:18

Severity

8.1 (High) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

References

	URL	Tags
	ff89ba41-3aa1-4d27-914a-91399e9639e5	https://aws.amazon.com/security/security-bulletins/2026-114-aws/
	ff89ba41-3aa1-4d27-914a-91399e9639e5	https://github.com/aws/aws-iot-device-sdk-python/releases/tag/v1.6.1
	ff89ba41-3aa1-4d27-914a-91399e9639e5	https://github.com/aws/aws-iot-device-sdk-python/security/advisories/GHSA-g7vp-3rxx-v25r
	ff89ba41-3aa1-4d27-914a-91399e9639e5	https://pypi.org/project/AWSIoTPythonSDK/1.6.1/

Impacted products

	Vendor	Product	Version

JSON

To clipboard

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          "userInteraction": "NONE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "version": "4.0",
          "vulnAvailabilityImpact": "HIGH",
          "vulnConfidentialityImpact": "HIGH",
          "vulnIntegrityImpact": "HIGH",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-92943",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-09-17T19:56:30.974492Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-09-17T20:18:59.333",
  "references": [
    {
      "source": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
      "url": "https://aws.amazon.com/security/security-bulletins/2026-114-aws/"
    },
    {
      "source": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
      "url": "https://github.com/aws/aws-iot-device-sdk-python/releases/tag/v1.6.1"
    },
    {
      "source": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
      "url": "https://github.com/aws/aws-iot-device-sdk-python/security/advisories/GHSA-g7vp-3rxx-v25r"
    },
    {
      "source": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
      "url": "https://pypi.org/project/AWSIoTPythonSDK/1.6.1/"
    }
  ],
  "sourceIdentifier": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
  "vulnStatus": "Received",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-297"
        }
      ],
      "source": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
      "type": "Secondary"
    }
  ]
}

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.