Vulnerability-Lookup

GHSA-5MFF-2RMC-P8X8

Vulnerability from github – Published: 2026-08-26 21:31 – Updated: 2026-08-26 21:31

Details

A Predictable Resource Name vulnerability in BigQuery Import Staging in Google Cloud Vertex AI Search for Commerce versions prior to 2026-04-27 on Google Cloud Platform allows an attacker knowing the victim's project number to obtain read/write access to staged data and error logs using predictable bucket names.

This vulnerability was patched and no customer action is needed.

Severity

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N/U:Clear

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  "affected": [],
  "aliases": [
    "CVE-2026-19485"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-330"
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    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-08-26T19:16:49Z",
    "severity": "CRITICAL"
  },
  "details": "A Predictable Resource Name vulnerability in BigQuery Import Staging in Google Cloud Vertex AI Search for Commerce versions prior to 2026-04-27 on Google Cloud Platform allows an attacker knowing the victim\u0027s project number to obtain read/write access to staged data and error logs using predictable bucket names.\n\n\n\nThis vulnerability was patched and no customer action is needed.",
  "id": "GHSA-5mff-2rmc-p8x8",
  "modified": "2026-08-26T21:31:40Z",
  "published": "2026-08-26T21:31:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-19485"
    },
    {
      "type": "WEB",
      "url": "https://unit42.paloaltonetworks.com/hijacking-vertex-ai-model"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Clear",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-19485 (GCVE-0-2026-19485)

Vulnerability from cvelistv5 – Published: 2026-08-26 18:06 – Updated: 2026-08-26 19:04

Title

Bucket Squatting in Vertex AI Search for Commerce

Summary

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:N/SC:H/SI:H/SA:N/U:Clear

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-08-26 19:04 UTC

CWE

CWE-330 - Use of Insufficiently Random Values

Assigner

GoogleCloud Google root

References

1 reference

URL	Tags
https://unit42.paloaltonetworks.com/hijacking-ver…

Impacted products

1 product

Vendor	Product	Version
Google Cloud	Vertex AI Search for Commerce	Affected: 0 , < 2026-04-27 (date)

Credits

Omer Amiad

Show details on NVD website

JSON

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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.