Vulnerability-Lookup

FKIE_CVE-2018-20752

Vulnerability from fkie_nvd - Published: 2019-02-04 21:29 - Updated: 2026-06-17 01:53

Severity

9.8 (Critical) - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Summary

An issue was discovered in Recon-ng before 4.9.5. Lack of validation in the modules/reporting/csv.py file allows CSV injection. More specifically, when a Twitter user possesses an Excel macro for a username, it will not be properly sanitized when exported to a CSV file. This can result in remote code execution for the attacker.

References

URL	Tags
cve@mitre.org	https://bitbucket.org/LaNMaSteR53/recon-ng/commits/41e96fd58891439974fb0c920b349f8926c71d4c#chg-modules/reporting/csv.py	Patch, Third Party Advisory
cve@mitre.org	https://bitbucket.org/LaNMaSteR53/recon-ng/issues/285/csv-injection-vulnerability-identified-in	Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://bitbucket.org/LaNMaSteR53/recon-ng/commits/41e96fd58891439974fb0c920b349f8926c71d4c#chg-modules/reporting/csv.py	Patch, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108	https://bitbucket.org/LaNMaSteR53/recon-ng/issues/285/csv-injection-vulnerability-identified-in	Third Party Advisory

Impacted products

	Vendor	Product	Version
	recon-ng_project	recon-ng	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "source": "cve@mitre.org"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:recon-ng_project:recon-ng:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "3496C2A3-1D7B-4CBB-9210-7117EF31E7FF",
              "versionEndExcluding": "4.9.5",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
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  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An issue was discovered in Recon-ng before 4.9.5. Lack of validation in the modules/reporting/csv.py file allows CSV injection. More specifically, when a Twitter user possesses an Excel macro for a username, it will not be properly sanitized when exported to a CSV file. This can result in remote code execution for the attacker."
    },
    {
      "lang": "es",
      "value": "Se ha descubierto un problema en versiones anteriores a la 4.9.5 de Recon-ng. La falta de validaci\u00f3n en el archivo modules/reporting/csv.py permite la inyecci\u00f3n de CSV. M\u00e1s concretamente, cuando un usuario de Twitter posee una maro de Excel para un nombre de usuario, no se sanear\u00e1 correctamente al exportarlo a un archivo CSV. Esto puede resultar en la ejecuci\u00f3n de c\u00f3digo remoto para el atacante."
    }
  ],
  "id": "CVE-2018-20752",
  "lastModified": "2026-06-17T01:53:24.310",
  "metrics": {
    "cvssMetricV2": [
      {
        "acInsufInfo": false,
        "baseSeverity": "HIGH",
        "cvssData": {
          "accessComplexity": "LOW",
          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "PARTIAL",
          "baseScore": 7.5,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
          "version": "2.0"
        },
        "exploitabilityScore": 10.0,
        "impactScore": 6.4,
        "obtainAllPrivilege": false,
        "obtainOtherPrivilege": false,
        "obtainUserPrivilege": false,
        "source": "nvd@nist.gov",
        "type": "Primary",
        "userInteractionRequired": false
      }
    ],
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.8,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ]
  },
  "published": "2019-02-04T21:29:00.580",
  "references": [
    {
      "source": "cve@mitre.org",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "url": "https://bitbucket.org/LaNMaSteR53/recon-ng/commits/41e96fd58891439974fb0c920b349f8926c71d4c#chg-modules/reporting/csv.py"
    },
    {
      "source": "cve@mitre.org",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://bitbucket.org/LaNMaSteR53/recon-ng/issues/285/csv-injection-vulnerability-identified-in"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Patch",
        "Third Party Advisory"
      ],
      "url": "https://bitbucket.org/LaNMaSteR53/recon-ng/commits/41e96fd58891439974fb0c920b349f8926c71d4c#chg-modules/reporting/csv.py"
    },
    {
      "source": "af854a3a-2127-422b-91ae-364da2661108",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://bitbucket.org/LaNMaSteR53/recon-ng/issues/285/csv-injection-vulnerability-identified-in"
    }
  ],
  "sourceIdentifier": "cve@mitre.org",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-1236"
        }
      ],
      "source": "nvd@nist.gov",
      "type": "Primary"
    }
  ]
}

CVE-2018-20752 (GCVE-0-2018-20752)

Vulnerability from cvelistv5 – Published: 2019-02-04 21:00 – Updated: 2024-08-05 12:12

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2351 records in the last 180 days details

References

2 references

URL	Tags
https://bitbucket.org/LaNMaSteR53/recon-ng/issues…	x_refsource_MISC
https://bitbucket.org/LaNMaSteR53/recon-ng/commit…	x_refsource_MISC

Date Public

2019-02-04 00:00

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T12:12:28.533Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            ],
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          },
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            "url": "https://bitbucket.org/LaNMaSteR53/recon-ng/commits/41e96fd58891439974fb0c920b349f8926c71d4c#chg-modules/reporting/csv.py"
          }
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          "versions": [
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      "datePublic": "2019-02-04T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
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        }
      ],
      "problemTypes": [
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      "providerMetadata": {
        "dateUpdated": "2019-02-04T21:57:01.000Z",
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        },
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          "url": "https://bitbucket.org/LaNMaSteR53/recon-ng/commits/41e96fd58891439974fb0c920b349f8926c71d4c#chg-modules/reporting/csv.py"
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      ],
      "x_legacyV4Record": {
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  "cveMetadata": {
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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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