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VAR-201812-0571

Vulnerability from variot - Updated: 2024-11-23 23:04

SAML 2.0 functionality in SAP NetWeaver AS Java, does not sufficiently validate XML documents received from an untrusted source. This is fixed in versions 7.2, 7.30, 7.31, 7.40 and 7.50. SAP NetWeaver AS Java Contains an input validation vulnerability.Tampering with information and disrupting service operations (DoS) There is a possibility of being put into a state. SAP NetWeaver AS Java is prone to an XML External Entity injection vulnerability. Attackers can exploit this issue to gain access to sensitive information or cause denial-of-service conditions

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CVE-2018-2492 (GCVE-0-2018-2492)

Vulnerability from cvelistv5 – Published: 2018-12-11 23:00 – Updated: 2024-08-05 04:21

Summary

SAML 2.0 functionality in SAP NetWeaver AS Java, does not sufficiently validate XML documents received from an untrusted source. This is fixed in versions 7.2, 7.30, 7.31, 7.40 and 7.50.

Severity

No CVSS data available.

CWE

Missing XML Validation

Assigner

sap mitre root

References

3 references

URL	Tags
https://wiki.scn.sap.com/wiki/pages/viewpage.acti…	x_refsource_MISC
https://launchpad.support.sap.com/#/notes/2642680	x_refsource_MISC
http://www.securityfocus.com/bid/106153	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
SAP	SAP NetWeaver Application Server (Java Library)	Affected: = 7.20 Affected: = 7.30 Affected: = 7.31 Affected: = 7.50

Date Public

2018-12-11 00:00

Show details on NVD website

JSON

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              "x_refsource_MISC",
              "x_transferred"
            ],
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          },
          {
            "name": "106153",
            "tags": [
              "vdb-entry",
              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/106153"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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        {
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          ]
        }
      ],
      "datePublic": "2018-12-11T00:00:00.000Z",
      "descriptions": [
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          "lang": "en",
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      "providerMetadata": {
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        },
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          "url": "https://launchpad.support.sap.com/#/notes/2642680"
        },
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          "tags": [
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            "x_refsource_BID"
          ],
          "url": "http://www.securityfocus.com/bid/106153"
        }
      ],
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        "discovery": "UNKNOWN"
      },
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                          {
                            "version_name": "=",
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            },
            {
              "name": "https://launchpad.support.sap.com/#/notes/2642680",
              "refsource": "MISC",
              "url": "https://launchpad.support.sap.com/#/notes/2642680"
            },
            {
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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.