Vulnerability-Lookup

CERTFR-2019-AVI-134

Vulnerability from certfr_avis - Published: 2019-03-29 - Updated: 2019-03-29

Une vulnérabilité a été découverte dans PaloAlto PAN-OS. Elle permet à un attaquant de provoquer un contournement de la politique de sécurité et une atteinte à la confidentialité des données.

Solution

Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).

None

Impacted products

	Vendor	Product	Description
	Palo Alto Networks	PAN-OS	PaloAlto PAN-OS version 9.0.0

References

Title

Publication Time

CVE-2019-1572 (GCVE-0-2019-1572)

Vulnerability from cvelistv5 – Published: 2019-03-26 21:48 – Updated: 2024-08-04 18:20

Summary

PAN-OS 9.0.0 may allow an unauthenticated remote user to access php files.

Severity

No CVSS data available.

CWE

Other

Assigner

palo_alto mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/107720	vdb-entryx_refsource_BID
https://security.paloaltonetworks.com/CVE-2019-1572	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Palo Alto Networks	PAN-OS	Affected: PAN-OS 9.0.0

Date Public

2019-03-12 00:00

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.

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