CVE-2026-101281 (GCVE-0-2026-101281)
Vulnerability from cvelistv5 – Published: 2026-09-29 00:45 – Updated: 2026-10-01 15:27 X_Open Source
VLAI
EPSS
VEX
Title
Trusted Domain Project OpenDMARC SPF Macro opendmarc_spf.c opendmarc_sp2_find_mailfrom_domain improper authentication
Summary
A flaw has been found in Trusted Domain Project OpenDMARC up to 1.4.2. Affected by this vulnerability is the function opendmarc_sp2_find_mailfrom_domain of the file libopendmarc/opendmarc_spf.c of the component SPF Macro Handler. This manipulation causes improper authentication. The attack is possible to be carried out remotely. The exploit has been published and may be used. Patch name: c48a74c758677fc5272a73eff15ffdbf8afda1a6. Applying a patch is the recommended action to fix this issue.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-01 15:27 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/411038 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/411038/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-101281 | third-party-advisory |
| https://vuldb.com/submit/918284 | third-party-advisory |
| https://github.com/trusteddomainproject/OpenDMARC… | issue-tracking |
| https://github.com/trusteddomainproject/OpenDMARC… | issue-trackingpatch |
| https://xuyongzhe-vt.github.io/share/opendmarc-sp… | exploit |
| https://github.com/trusteddomainproject/OpenDMARC… | patch |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Trusted Domain Project | OpenDMARC |
Affected:
1.4.0
Affected: 1.4.1 Affected: 1.4.2 cpe:2.3:a:trusted_domain_project:opendmarc:*:*:*:*:*:*:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
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