VAR-202105-0685
Vulnerability from variot - Updated: 2023-12-18 11:03A vulnerability has been found in multiple revisions of Emerson Rosemount X-STREAM Gas Analyzer. The affected applications do not validate webpage input, which could allow an attacker to inject arbitrary HTML code into a webpage. This would allow an attacker to modify the page and display incorrect or undesirable data. Rosemount X-STREAM The following multiple vulnerabilities exist in. * Inadequate encryption strength (CWE-326) - CVE-2021-27457 ‥ * Unlimited upload of dangerous types of files (CWE-434) - CVE-2021-27459 ‥ * Past traversal (CWE-22) - CVE-2021-27461 ‥ * Contains sensitive information Cookie Permanent use of (CWE-539) - CVE-2021-27463 ‥ * Cross-site scripting (CWE-79) - CVE-2021-27465 ‥ * Inappropriate restrictions on rendered user interface layers or frames (CWE-1021) - CVE-2021-27467The expected impact depends on each vulnerability, but it may be affected as follows. * Credentials obtained by a remote third party - CVE-2021-27457 ‥ * Arbitrary code executed by a remote third party - CVE-2021-27459 ‥ * By a remote third party Web Access to sensitive data stored on the server - CVE-2021-27461 ‥ * By a remote third party Cookie Get sensitive information stored in - CVE-2021-27463 ‥ * By a remote third party Web Page tampered with displaying incorrect or unintended data - CVE-2021-27465 ‥ * A remote third party transfers the clicks and keystrokes made by the user to another page to obtain sensitive information. - CVE-2021-27467. The device supports gas analyzers of up to five components, with NDIR/UV/VIS photometer, paramagnetic and electrochemical O2, thermal conductivity and humidity sensors and other functions. 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
Show details on source website{
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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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