CVE-2026-16013 (GCVE-0-2026-16013)
Vulnerability from cvelistv5 – Published: 2026-07-17 11:45 – Updated: 2026-07-17 12:59 X_Open Source
VLAI
EPSS
VEX
Title
liftoff-sr CIPster cipepath.cc deserialize_symbolic out-of-bounds
Summary
A vulnerability has been found in liftoff-sr CIPster up to 632336d414ef708a542377c1aa8d6fdb7c70a760. Affected by this issue is the function CipAppPath::deserialize_symbolic of the file source/src/cip/cipepath.cc. Such manipulation leads to out-of-bounds read. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. The name of the patch is 886a4d090e1c5b0475f0b1c2fe0606a8f0d6a519. A patch should be applied to remediate this issue.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-17 12:58 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/379755 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/379755/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-16013 | third-party-advisory |
| https://vuldb.com/submit/856794 | third-party-advisory |
| https://github.com/liftoff-sr/CIPster/issues/53 | issue-tracking |
| https://github.com/user-attachments/files/2892645… | exploit |
| https://github.com/liftoff-sr/CIPster/commit/886a… | patch |
| https://github.com/liftoff-sr/CIPster/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| liftoff-sr | CIPster |
Affected:
632336d414ef708a542377c1aa8d6fdb7c70a760
cpe:2.3:a:liftoff-sr:cipster:*:*:*:*:*:*:*:* |
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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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