Vulnerability-Lookup

GHSA-699Q-WCFF-G9MJ

Vulnerability from github – Published: 2020-09-15 18:19 – Updated: 2021-01-07 22:56

Summary

Unsafe deserialization in Yii 2

Details

Impact

Remote code execution in case application calls unserialize() on user input containing specially crafted string.

Patches

2.0.38

Workarounds

Add the following to BatchQueryResult.php:

public function __sleep()
{
    throw new \BadMethodCallException('Cannot serialize '.__CLASS__);
}

public function __wakeup()
{
    throw new \BadMethodCallException('Cannot unserialize '.__CLASS__);
}

For more information

If you have any questions or comments about this advisory, contact us through security form.

Severity

8.9 (High)


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

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "yiisoft/yii2"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.0.38"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2020-15148"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2020-09-15T18:19:44Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "### Impact\n\nRemote code execution in case application calls `unserialize()` on user input containing specially crafted string.\n\n### Patches\n\n2.0.38\n\n### Workarounds\n\nAdd the following to BatchQueryResult.php:\n\n```php\npublic function __sleep()\n{\n    throw new \\BadMethodCallException(\u0027Cannot serialize \u0027.__CLASS__);\n}\n\npublic function __wakeup()\n{\n    throw new \\BadMethodCallException(\u0027Cannot unserialize \u0027.__CLASS__);\n}\n```\n\n### For more information\n\nIf you have any questions or comments about this advisory, [contact us through security form](https://www.yiiframework.com/security).",
  "id": "GHSA-699q-wcff-g9mj",
  "modified": "2021-01-07T22:56:34Z",
  "published": "2020-09-15T18:19:56Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/yiisoft/yii2/security/advisories/GHSA-699q-wcff-g9mj"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-15148"
    },
    {
      "type": "WEB",
      "url": "https://github.com/yiisoft/yii2/commit/9abccb96d7c5ddb569f92d1a748f50ee9b3e2b99"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FriendsOfPHP/security-advisories/blob/master/yiisoft/yii2/CVE-2020-15148.yaml"
    },
    {
      "type": "WEB",
      "url": "https://www.yiiframework.com/news/303/yii-2-0-38"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Unsafe deserialization in Yii 2"
}

CVE-2020-15148 (GCVE-0-2020-15148)

Vulnerability from cvelistv5 – Published: 2020-09-15 18:25 – Updated: 2024-08-04 13:08

Title

Unsafe deserialization in Yii 2

Summary

Yii 2 (yiisoft/yii2) before version 2.0.38 is vulnerable to remote code execution if the application calls `unserialize()` on arbitrary user input. This is fixed in version 2.0.38. A possible workaround without upgrading is available in the linked advisory.

Severity

8.9 (High)


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

CWE

CWE-502 - {"CWE-502":"Deserialization of Untrusted Data"}

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/yiisoft/yii2/security/advisori…	x_refsource_CONFIRM
https://github.com/yiisoft/yii2/commit/9abccb96d7…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
yiisoft	yii2	Affected: < 2.0.38

Show details on NVD website

JSON

To clipboard

{
  "containers": {
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        "providerMetadata": {
          "dateUpdated": "2024-08-04T13:08:21.907Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
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            "tags": [
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              "x_transferred"
            ],
            "url": "https://github.com/yiisoft/yii2/security/advisories/GHSA-699q-wcff-g9mj"
          },
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            "tags": [
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            ],
            "url": "https://github.com/yiisoft/yii2/commit/9abccb96d7c5ddb569f92d1a748f50ee9b3e2b99"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "product": "yii2",
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        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.9,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "LOW",
            "integrityImpact": "HIGH",
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            "scope": "CHANGED",
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            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:H/A:H",
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      "providerMetadata": {
        "dateUpdated": "2020-09-15T18:25:12.000Z",
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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.