Amazon FreeRTOS up to and including v1.4.8 lacks length checking in prvProcessReceivedPublish, resulting in untargetable leakage of arbitrary memory contents on a device to an attacker. If an attacker has the authorization to send a malformed MQTT publish packet to an Amazon IoT Thing, which interacts with an associated vulnerable MQTT message in the application, specific circumstances could trigger this vulnerability.
This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 1 product from amazon organizations running these solutions should prioritize assessment and patching.
First disclosed in 2019, this vulnerability was reported during a period defined by widespread IoT adoption challenges, mobile security concerns, and the emergence of advanced persistent threat (APT) techniques. Contemporary mitigation strategies focused on secure development practices and third-party component vetting.
2019-10-07T22:15:10.477
2024-11-21T04:24:14.057
Modified
CVSSv3.1: 7.5 (HIGH)
AV:N/AC:M/Au:N/C:P/I:N/A:N
8.6
2.9
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | amazon | amazon_web_services_freertos | ≤ 1.4.8 | Yes |
SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For amazon's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.