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CVE-2022-0031 (GCVE-0-2022-0031)

Vulnerability from cvelistv5 – Published: 2022-11-09 17:24 – Updated: 2025-05-01 19:10
VLAI
Title
Cortex XSOAR: Local Privilege Escalation (PE) Vulnerability in Cortex XSOAR Engine
Summary
A local privilege escalation (PE) vulnerability in the Palo Alto Networks Cortex XSOAR engine software running on a Linux operating system allows a local attacker with shell access to the engine to execute programs with elevated privileges.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-01 19:10 UTC
CWE
  • CWE-345 - Insufficient Verification of Data Authenticity
References
Impacted products
Vendor Product Version CPE status
Palo Alto Networks Cortex XSOAR Affected: 6.9.0.0 , < 6.9.0.130766 (custom)
Affected: 6.8.0.0
Affected: 6.6.0.0
Affected: 6.5.0.0
guessed Create a notification for this product.
Date Public
2022-11-09 17:00
Show details on NVD website

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}



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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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Detection rules are retrieved from Rulezet.

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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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