FKIE_CVE-2016-9707
Vulnerability from fkie_nvd - Published: 2017-03-31 18:59 - Updated: 2026-06-17 00:56
Severity
Summary
IBM Jazz Foundation is vulnerable to a denial of service, caused by an XML External Entity Injection (XXE) error when processing XML data. A remote attacker could exploit this vulnerability to expose highly sensitive information or consume all available memory resources. IBM Reference #: 2000784.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@us.ibm.com | http://www.securityfocus.com/bid/97171 | Third Party Advisory, VDB Entry | |
| psirt@us.ibm.com | https://www.ibm.com/support/docview.wss?uid=swg22000784 | Patch, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | http://www.securityfocus.com/bid/97171 | Third Party Advisory, VDB Entry | |
| af854a3a-2127-422b-91ae-364da2661108 | https://www.ibm.com/support/docview.wss?uid=swg22000784 | Patch, Vendor Advisory |
Impacted products
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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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