CVE-2026-82028 (GCVE-0-2026-82028)
Vulnerability from cvelistv5 – Published: 2026-09-14 19:56 – Updated: 2026-09-16 16:11 X_Open Source
VLAI
EPSS
VEX
Title
Magistrala < 1.0.0 SQL Injection via format Parameter in Reader API
Summary
Magistrala before 1.0.0 contains a SQL injection vulnerability in the timescale-reader and postgres-reader HTTP API services that allows authenticated attackers to inject arbitrary SQL by supplying a malicious format query parameter that is interpolated directly into the FROM clause without parameterization or identifier quoting. Attackers with a self-registered account can substitute arbitrary subqueries to achieve cross-tenant database reads, extract pg_shadow password hashes, read and write arbitrary files, and execute arbitrary code as the postgres OS user by loading attacker-supplied shared objects, with all injected SQL executing at superuser privilege due to the default PostgreSQL role configuration.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-16 16:11 UTC
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/absmach/magistrala/releases/ta… | release-notes |
| https://github.com/absmach/magistrala/pull/3581 | issue-tracking |
| https://github.com/absmach/magistrala/pull/3581/c… | patch |
| https://www.vulncheck.com/advisories/magistrala-s… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| absmach | magistrala |
Affected:
0 , < 1.0.0
(semver)
|
guessed |
Date Public
2026-08-13 00:00
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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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