pion dtls up to 3.0.x AES GCM information disclosure
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in pion dtls up to 3.0.x. It has been classified as problematic. This affects an unknown function of the component AES GCM. This manipulation causes information disclosure. This vulnerability is registered as CVE-2026-26014. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is recommended.
Details
A vulnerability has been found in pion dtls up to 3.0.x and classified as problematic. Affected by this vulnerability is an unknown code block of the component AES GCM. The manipulation with an unknown input leads to a information disclosure vulnerability. The CWE definition for the vulnerability is CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. As an impact it is known to affect confidentiality. The summary by CVE is:
Pion DTLS is a Go implementation of Datagram Transport Layer Security. Pion DTLS versions v1.0.0 through v3.0.10 and 3.1.0 use random nonce generation with AES GCM ciphers, which makes it easier for remote attackers to obtain the authentication key and spoof data by leveraging the reuse of a nonce in a session and a "forbidden attack". Upgrade to v3.0.11, v3.1.1, or later.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-26014 since 02/09/2026. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
The vulnerability scanner Nessus provides a plugin with the ID 298900 (Linux Distros Unpatched Vulnerability : CVE-2026-26014), which helps to determine the existence of the flaw in a target environment.
Upgrading to version 3.1.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 61762dee8217991882c5eb79856b9e7a73ee349f is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
The vulnerability is also documented in the vulnerability database at Tenable (298900). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
- Product: https://github.com/pion/dtls/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.1
VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
NVD Base Score: 5.9
NVD Vector: 🔒
CNA Base Score: 5.9
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Information disclosureCWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Nessus ID: 298900
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2026-26014
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: dtls 3.1.0
Patch: 61762dee8217991882c5eb79856b9e7a73ee349f
Timeline
02/09/2026 CVE reserved02/11/2026 Advisory disclosed
02/11/2026 VulDB entry created
02/26/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-9f3f-wv7r-qc8r
Status: Confirmed
CVE: CVE-2026-26014 (🔒)
GCVE (CVE): GCVE-0-2026-26014
GCVE (VulDB): GCVE-100-345595
Entry
Created: 02/11/2026 22:38Updated: 02/26/2026 20:21
Changes: 02/11/2026 22:38 (68), 02/14/2026 09:17 (12), 02/15/2026 03:16 (2), 02/26/2026 20:21 (5)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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