Vulnerability-Lookup

VAR-202112-0810

Vulnerability from variot - Updated: 2023-12-18 10:56

A vulnerability has been identified in SIMATIC eaSie PCS 7 Skill Package (All versions < V21.00 SP3). When downloading files, the affected systems do not properly neutralize special elements within the pathname. An attacker could then cause the pathname to resolve to a location outside of the restricted directory on the server and read unexpected critical files. The affected file download function is disabled by default. SIMATIC eaSie is Siemens' digital assistant automation concept for automation and process control technology, "Totally Integrated Automation"

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CVE-2021-42022 (GCVE-0-2021-42022)

Vulnerability from cvelistv5 – Published: 2021-12-14 12:06 – Updated: 2024-08-04 03:22

Summary

Severity

No CVSS data available.

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

siemens icscert root

References

1 reference

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

Impacted products

1 product

Vendor	Product	Version
Siemens	SIMATIC eaSie PCS 7 Skill Package	Affected: All versions < V21.00 SP3

Show details on NVD website

JSON

To clipboard

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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.