CVE-2026-18020 (GCVE-0-2026-18020)
Vulnerability from cvelistv5 – Published: 2026-08-13 20:41 – Updated: 2026-08-14 18:07
VLAI
EPSS
VEX
Title
IBM i is Affected By Multiple Vulnerabilities in NetServer
Summary
IBM i 7.6, 7.5, 7.4, and 7.3 could allow a remote attacker to cause a denial of service due to an off-by-one error in bounds checking.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-14 17:41 UTC
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.ibm.com/support/pages/node/7283573 | vendor-advisorypatch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| IBM | i |
Affected:
7.6
Affected: 7.5 Affected: 7.4 Affected: 7.3 cpe:2.3:a:ibm:i:7.6:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.6.0:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.5:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.5.0:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.4:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.4.0:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.3:*:*:*:*:*:*:* cpe:2.3:a:ibm:i:7.3.0:*:*:*:*:*:*:* |
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| Author | Source | Type | Date | Other |
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Nomenclature
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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
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.