Vulnerability-Lookup

GHSA-HFW8-FMMJ-C2Q7

Vulnerability from github – Published: 2026-02-10 06:30 – Updated: 2026-02-10 06:30

Details

Due to improper memory management in SAP NetWeaver and ABAP Platform (Application Server ABAP), an authenticated attacker could exploit logical errors in memory management by supplying specially crafted input containing unique characters, which are improperly converted. This may result in memory corruption and the potential leakage of memory content. Successful exploitation of this vulnerability would have a low impact on the confidentiality of the application, with no effect on its integrity or availability.

Severity

3.1 (Low)


                  
                    CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2026-24320"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-113",
      "CWE-787"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-02-10T04:16:03Z",
    "severity": "LOW"
  },
  "details": "Due to improper memory management in SAP NetWeaver and ABAP Platform (Application Server ABAP), an authenticated attacker could exploit logical errors in memory management by supplying specially crafted input containing unique characters, which are improperly converted. This may result in memory corruption and the potential leakage of memory content. Successful exploitation of this vulnerability would have a low impact on the confidentiality of the application, with no effect on its integrity or availability.",
  "id": "GHSA-hfw8-fmmj-c2q7",
  "modified": "2026-02-10T06:30:39Z",
  "published": "2026-02-10T06:30:38Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24320"
    },
    {
      "type": "WEB",
      "url": "https://me.sap.com/notes/3678313"
    },
    {
      "type": "WEB",
      "url": "https://url.sap/sapsecuritypatchday"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-24320 (GCVE-0-2026-24320)

Vulnerability from cvelistv5 – Published: 2026-02-10 03:03 – Updated: 2026-02-10 16:25

Title

Memory Corruption vulnerability in SAP NetWeaver and ABAP Platform (Application Server ABAP)

Summary

Severity

3.1 (Low)


                        
                          CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-10 16:25 UTC

CWE

CWE-113 - Improper Neutralization of CRLF Sequences in HTTP Headers

Assigner

sap mitre root

References

2 references

URL	Tags
https://me.sap.com/notes/3678313
https://url.sap/sapsecuritypatchday

Impacted products

1 product

Vendor	Product	Version
SAP_SE	SAP NetWeaver and ABAP Platform (Application Server ABAP)	Affected: KRNL64NUC 7.22 Affected: 7.22EXT Affected: KRNL64UC 7.22 Affected: 7.53 Affected: 8.04 Affected: KERNEL 7.22 Affected: 7.54 Affected: 7.77 Affected: 7.89 Affected: 7.93 Affected: 9.16 Affected: 9.17 Affected: 9.18

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-24320",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-02-10T16:25:22.928517Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
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          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-02-10T16:25:30.720Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
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            {
              "status": "affected",
              "version": "KRNL64NUC 7.22"
            },
            {
              "status": "affected",
              "version": "7.22EXT"
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              "status": "affected",
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            },
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              "version": "7.53"
            },
            {
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              "version": "8.04"
            },
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              "version": "KERNEL 7.22"
            },
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              "version": "7.54"
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      "metrics": [
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            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 3.1,
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      "source": {
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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.