Vulnerability-Lookup

GHSA-R7P8-H82J-W6X6

Vulnerability from github – Published: 2026-05-27 15:33 – Updated: 2026-06-03 06:31

Details

@pensar/apex <= 0.0.58 is vulnerable to OS command injection via the smart_enumerate tool. The createSmartEnumerateTool() function in src/core/agent/tools.ts constructs a shell command by concatenating unsanitized values from the extensions array and url parameter into a string passed to Node.js child_process.exec(). Because exec() spawns a shell, shell metacharacters in those values are interpreted by the host shell, resulting in arbitrary OS command execution with the privileges of the running process.

Severity

8.8 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2026-36044"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-78"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-27T14:16:45Z",
    "severity": "HIGH"
  },
  "details": "@pensar/apex \u003c= 0.0.58 is vulnerable to OS command injection via the smart_enumerate tool. The createSmartEnumerateTool() function in src/core/agent/tools.ts constructs a shell command by concatenating unsanitized values from the extensions array and url parameter into a string passed to Node.js child_process.exec(). Because exec() spawns a shell, shell metacharacters in those values are interpreted by the host shell, resulting in arbitrary OS command execution with the privileges of the running process.",
  "id": "GHSA-r7p8-h82j-w6x6",
  "modified": "2026-06-03T06:31:26Z",
  "published": "2026-05-27T15:33:11Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-36044"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/NucleiAv/47e87da08b90ef464fd9b35affe578fb"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pensarai/apex/security"
    },
    {
      "type": "WEB",
      "url": "https://www.npmjs.com/package/@pensar/apex"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2026-36044 (GCVE-0-2026-36044)

Vulnerability from cvelistv5 – Published: 2026-05-27 00:00 – Updated: 2026-06-03 03:41 Disputed

Summary

Severity

8.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-29 15:36 UTC

CWE

n/a
CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

Assigner

mitre mitre root

References

3 references

URL	Tags
https://www.npmjs.com/package/@pensar/apex
https://gist.github.com/NucleiAv/47e87da08b90ef46…
https://github.com/pensarai/apex/security

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JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2026-36044",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-05-29T15:36:48.516120Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-78",
                "description": "CWE-78 Improper Neutralization of Special Elements used in an OS Command (\u0027OS Command Injection\u0027)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2026-05-29T15:36:56.069Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "@pensar/apex \u003c= 0.0.58 is vulnerable to OS command injection via the smart_enumerate tool. The createSmartEnumerateTool() function in src/core/agent/tools.ts constructs a shell command by concatenating unsanitized values from the extensions array and url parameter into a string passed to Node.js child_process.exec(). Because exec() spawns a shell, shell metacharacters in those values are interpreted by the host shell, resulting in arbitrary OS command execution with the privileges of the running process. NOTE: this is disputed by the Supplier because the report is about intended behavior, as explained in the Security Policy of the pensarai/apex GitHub repo."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AC:L/AV:N/A:H/C:H/I:H/PR:N/S:U/UI:R",
            "version": "3.1"
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      ],
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          "descriptions": [
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      "providerMetadata": {
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        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "url": "https://www.npmjs.com/package/@pensar/apex"
        },
        {
          "url": "https://gist.github.com/NucleiAv/47e87da08b90ef464fd9b35affe578fb"
        },
        {
          "url": "https://github.com/pensarai/apex/security"
        }
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      "tags": [
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  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2026-36044",
    "datePublished": "2026-05-27T00:00:00.000Z",
    "dateReserved": "2026-04-06T00:00:00.000Z",
    "dateUpdated": "2026-06-03T03:41:20.766Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

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.