HPE NonStop EMS Distributor buffer overflow

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
4.2$5k-$25k3.03

Summaryinfo

A vulnerability identified as problematic has been detected in HPE NonStop EMS Distributor. The affected element is an unknown function. The manipulation leads to buffer overflow. This vulnerability is traded as CVE-2026-79823. An attack has to be approached locally. There is no exploit available.

Detailsinfo

A vulnerability was found in HPE NonStop EMS Distributor (affected version not known). It has been rated as problematic. This issue affects some unknown functionality. The manipulation with an unknown input leads to a buffer overflow vulnerability. Using CWE to declare the problem leads to CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. Impacted is integrity, and availability. The summary by CVE is:

HPE NonStop EMS Distributor is vulnerable to buffer overflow condition that may result in undesirable behavior.

The advisory is shared at support.hpe.com. The identification of this vulnerability is CVE-2026-79823 since 08/25/2026. The exploitation is known to be easy. An attack has to be approached locally. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 10/15/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-101953). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Vendor

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License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.2
VulDB Meta Temp Score: 4.2

VulDB Base Score: 4.4
VulDB Temp Score: 4.4
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 4.0
CNA Vector (hpe): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Buffer overflow
CWE: CWE-120 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: No

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

08/25/2026 CVE reserved
10/15/2026 +51 days Advisory disclosed
10/15/2026 +0 days VulDB entry created
10/15/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: hpe.com

Advisory: support.hpe.com
Status: Not defined

CVE: CVE-2026-79823 (🔒)
GCVE (CVE): GCVE-0-2026-79823
GCVE (VulDB): GCVE-100-420569
EUVD: 🔒

Entryinfo

Created: 10/15/2026 11:20
Updated: 10/15/2026 12:30
Changes: 10/15/2026 11:20 (59), 10/15/2026 12:30 (1)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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