Vulnerability-Lookup

GHSA-X48C-P6XP-X2XG

Vulnerability from github – Published: 2026-06-25 15:32 – Updated: 2026-06-25 15:32

Details

Our payment integration with Oppwa-based payment methods did not properly validate payment status responses. An attacker could use a successful payment status response from one payment and supply it to the system for a different payment, gaining access to multiple valid tickets with only one payment.

Severity

6.3 (Medium)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-13222"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-841"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-25T15:16:34Z",
    "severity": "MODERATE"
  },
  "details": "Our payment integration with Oppwa-based payment methods did not \nproperly validate payment status responses. An attacker could use a \nsuccessful payment status response from one payment and supply it to the\n system for a different payment, gaining access to multiple valid \ntickets with only one payment.",
  "id": "GHSA-x48c-p6xp-x2xg",
  "modified": "2026-06-25T15:32:02Z",
  "published": "2026-06-25T15:32:02Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-13222"
    },
    {
      "type": "WEB",
      "url": "https://pretix.eu/about/en/blog/20260625-release-2026-5-2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
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      "score": "CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:L/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:X",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2026-13222 (GCVE-0-2026-13222)

Vulnerability from cvelistv5 – Published: 2026-06-25 14:07 – Updated: 2026-06-25 15:13

Title

Insufficient validation of payment status in pretix-oppwa

Summary

Severity

6.3 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-25 15:13 UTC

CWE

CWE-841 - Improper enforcement of behavioral workflow

Assigner

rami.io mitre root

References

1 reference

URL	Tags
https://pretix.eu/about/en/blog/20260625-release-…

Impacted products

1 product

Vendor	Product	Version
pretix	pretix-oppwa	Affected: 0 , < 1.4.3 (python)

Credits

Deepjyoti Roy

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.