CVE-2026-59109 (GCVE-0-2026-59109)
Vulnerability from cvelistv5 – Published: 2026-08-13 16:40 – Updated: 2026-08-14 17:46
VLAI
EPSS
VEX
Title
Zalktis: SQL injection via partner-controlled fields in imported e-invoices
Summary
SQL injection in the Zalktis accounting application via
trading-partner-controlled text fields in received electronic invoices. When
importing a received e-invoice (UBL/PEPPOL) or an e-commerce export, Zalktis
concatenates partner-controlled values directly into SQL statement text using
string concatenation, with neither parameterised queries nor escaping. The
application's own escaping helper, Dazadi.sql_txt(),
is not invoked on these code paths, so a party that sends an invoice can break
out of the string literal and alter the query logic.
This issue affects Zalktis: before 2026.1.586 and before 2026.2.592.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-14 17:46 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://offseq.com/en/research/zalktis-cve-2026-59109 | technical-description |
| https://cvd.cert.lv/disclosed/vuln-all-631428755 | government-resourcepermissions-required |
| https://offseq.com/en/research/zalktis-cve-2026-59109/ | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Zalktis Programmas (SIA "Zalktis Programmas") | Zalktis |
Affected:
0 , < 2026.1.586
(semver)
Affected: 0 , < 2026.2.592 (semver) |
guessed |
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"assignerShortName": "ENISA",
"cveId": "CVE-2026-59109",
"datePublished": "2026-08-13T16:40:01.751Z",
"dateReserved": "2026-07-02T15:47:36.965Z",
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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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