CVE-2019-1010245 (GCVE-0-2019-1010245)
Vulnerability from cvelistv5 – Published: 2019-07-19 14:23 – Updated: 2024-08-05 03:07
VLAI
EPSS
VEX
Summary
The Linux Foundation ONOS SDN Controller 1.15 and earlier versions is affected by: Improper Input Validation. The impact is: A remote attacker can execute arbitrary commands on the controller. The component is: apps/yang/src/main/java/org/onosproject/yang/impl/YangLiveCompilerManager.java. The attack vector is: network connectivity. The fixed version is: 1.15.
Severity
9.8 (Critical)
CWE
- Improper Input Validation
References
2 references
| URL | Tags |
|---|---|
| https://drive.google.com/open?id=1OkMtrMgjjINsDUQ… | x_refsource_MISC |
| https://gerrit.onosproject.org/#/c/20767/ | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| The Linux Foundation | ONOS SDN Controller |
Affected:
1.15 and earlier versions [fixed: 1.15]
|
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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
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