CVE-2026-5123 (GCVE-0-2026-5123)
Vulnerability from cvelistv5 – Published: 2026-03-30 15:15 – Updated: 2026-04-01 18:10 X_Open Source
VLAI
EPSS
VEX
Title
osrg GoBGP bgp.go DecodeFromBytes off-by-one
Summary
A weakness has been identified in osrg GoBGP up to 4.3.0. This impacts the function DecodeFromBytes of the file pkg/packet/bgp/bgp.go. Executing a manipulation of the argument data[1] can lead to off-by-one. The attack may be launched remotely. Attacks of this nature are highly complex. The exploitability is said to be difficult. This patch is called 67c059413470df64bc20801c46f64058e88f800f. A patch should be applied to remediate this issue.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-01 18:10 UTC
Assigner
VulDB
CNA
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/354155 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/354155/cti | signaturepermissions-required |
| https://vuldb.com/submit/780179 | third-party-advisory |
| https://github.com/osrg/gobgp/pull/3342 | issue-trackingpatch |
| https://github.com/osrg/gobgp/commit/67c059413470… | patch |
| https://github.com/osrg/gobgp/ | product |
Impacted products
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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.
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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.
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.
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Related by attack behaviour
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