Vulnerability-Lookup

VAR-202107-1427

Vulnerability from variot - Updated: 2023-12-18 10:49

A vulnerability has been identified in JT2Go (All versions < V13.2), Teamcenter Visualization (All versions < V13.2). The BMP_Loader.dll library in affected applications lacks proper validation of user-supplied data when parsing BMP files. A malformed input file could result in an infinite loop condition that leads to denial of service condition. An attacker could leverage this vulnerability to consume excessive resources. (CNVD-C-2021-79300). JT2Go and Teamcenter Visualization Exists in an infinite loop vulnerability.Denial of service (DoS) It may be put into a state. Pillow is a Python-based image processing library. There is currently no information about this vulnerability, please feel free to follow CNNVD or manufacturer announcements

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CVE-2021-34332 (GCVE-0-2021-34332)

Vulnerability from cvelistv5 – Published: 2021-07-13 11:03 – Updated: 2024-08-04 00:05

Summary

Severity

No CVSS data available.

CWE

CWE-835 - Loop with Unreachable Exit Condition ('Infinite Loop')

Assigner

siemens icscert root

References

1 reference

URL	Tags
https://cert-portal.siemens.com/productcert/pdf/s…	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version
Siemens	JT2Go	Affected: All versions < V13.2
Siemens	Teamcenter Visualization	Affected: All versions < V13.2

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-04T00:05:52.479Z",
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            "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-483182.pdf"
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          "versions": [
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          "value": "A vulnerability has been identified in JT2Go (All versions \u003c V13.2), Teamcenter Visualization (All versions \u003c V13.2). The BMP_Loader.dll library in affected applications lacks proper validation of user-supplied data when parsing BMP files. A malformed input file could result in an infinite loop condition that leads to denial of service condition. An attacker could leverage this vulnerability to consume excessive resources. (CNVD-C-2021-79300)"
        }
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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.

Detection rules are retrieved from Rulezet.

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.

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.