pysec - pysec-2024-62

pysec-2024-62

Vulnerability from pysec

Published

2024-07-15 05:15

Modified

2024-07-15 11:19

Details

Notes:

Impact on the Confidentiality, Integrity and Availability of the vulnerable component:

Confidentiality: Code execution happens within the impacted component, in this case langchain-experimental, so all resources are necessarily accessible.

Integrity: There is nothing protected by the impacted component inherently. Although anything returned from the component counts as 'information' for which the trustworthiness can be compromised.

Availability: The loss of availability isn't caused by the attack itself, but it happens as a result during the attacker's post-exploitation steps.

Impact on the Confidentiality, Integrity and Availability of the subsequent system:

As a legitimate low-privileged user of the package (PR:L) the attacker does not have more access to data owned by the package as a result of this vulnerability than they did with normal usage (e.g. can query the DB). The unintended action that one can perform by breaking out of the app environment and exfiltrating files, making remote connections etc. happens during the post exploitation phase in the subsequent system - in this case, the OS.

AT:P: An attacker needs to be able to influence the input prompt, whilst the server is configured with the VectorSQLDatabaseChain plugin.

Aliases

CVE-2024-21513

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "langchain-experimental",
        "purl": "pkg:pypi/langchain-experimental"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "7b13292e3544b2f5f2bfb8a27a062ea2b0c34561"
            }
          ],
          "repo": "https://github.com/langchain-ai/langchain",
          "type": "GIT"
        },
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.21"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.0.10",
        "0.0.11",
        "0.0.12",
        "0.0.13",
        "0.0.14",
        "0.0.15",
        "0.0.16",
        "0.0.17",
        "0.0.18",
        "0.0.19",
        "0.0.1rc1",
        "0.0.1rc2",
        "0.0.1rc3",
        "0.0.1rc4",
        "0.0.2",
        "0.0.20",
        "0.0.3",
        "0.0.4",
        "0.0.5",
        "0.0.6",
        "0.0.7",
        "0.0.8",
        "0.0.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2024-21513"
  ],
  "details": "Versions of the package langchain-experimental from 0.0.15 and before 0.0.21 are vulnerable to Arbitrary Code Execution when retrieving values from the database, the code will attempt to call \u0027eval\u0027 on all values. An attacker can exploit this vulnerability and execute arbitrary python code if they can control the input prompt and the server is configured with VectorSQLDatabaseChain.\r\r**Notes:**\r\rImpact on the Confidentiality, Integrity and Availability of the vulnerable component:\r\rConfidentiality: Code execution happens within the impacted component, in this case langchain-experimental, so all resources are necessarily accessible.\r\rIntegrity: There is nothing protected by the impacted component inherently. Although anything returned from the component counts as \u0027information\u0027 for which the trustworthiness can be compromised.\r\rAvailability: The loss of availability isn\u0027t caused by the attack itself, but it happens as a result during the attacker\u0027s post-exploitation steps.\r\r\rImpact on the Confidentiality, Integrity and Availability of the subsequent system:\r\rAs a legitimate low-privileged user of the package (PR:L) the attacker does not have more access to data owned by the package as a result of this vulnerability than they did with normal usage (e.g. can query the DB). The unintended action that one can perform by breaking out of the app environment and exfiltrating files, making remote connections etc. happens during the post exploitation phase in the subsequent system - in this case, the OS.\r\rAT:P: An attacker needs to be able to influence the input prompt, whilst the server is configured with the VectorSQLDatabaseChain plugin.",
  "id": "PYSEC-2024-62",
  "modified": "2024-07-15T11:19:36.686972+00:00",
  "published": "2024-07-15T05:15:00+00:00",
  "references": [
    {
      "type": "WEB",
      "url": "https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAINEXPERIMENTAL-7278171"
    },
    {
      "type": "WEB",
      "url": "https://github.com/langchain-ai/langchain/blob/672907bbbb7c38bf19787b78e4ffd7c8a9026fe4/libs/experimental/langchain_experimental/sql/vector_sql.py%23L81"
    },
    {
      "type": "FIX",
      "url": "https://github.com/langchain-ai/langchain/commit/7b13292e3544b2f5f2bfb8a27a062ea2b0c34561"
    }
  ]
}

cve-2024-21513

Vulnerability from cvelistv5

Published

2024-07-15 05:00

Modified

2024-08-01 22:20

Severity ?

8.5 (High) - CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H/E:P

Summary

Versions of the package langchain-experimental from 0.0.15 and before 0.0.21 are vulnerable to Arbitrary Code Execution when retrieving values from the database, the code will attempt to call 'eval' on all values. An attacker can exploit this vulnerability and execute arbitrary python code if they can control the input prompt and the server is configured with VectorSQLDatabaseChain. **Notes:** Impact on the Confidentiality, Integrity and Availability of the vulnerable component: Confidentiality: Code execution happens within the impacted component, in this case langchain-experimental, so all resources are necessarily accessible. Integrity: There is nothing protected by the impacted component inherently. Although anything returned from the component counts as 'information' for which the trustworthiness can be compromised. Availability: The loss of availability isn't caused by the attack itself, but it happens as a result during the attacker's post-exploitation steps. Impact on the Confidentiality, Integrity and Availability of the subsequent system: As a legitimate low-privileged user of the package (PR:L) the attacker does not have more access to data owned by the package as a result of this vulnerability than they did with normal usage (e.g. can query the DB). The unintended action that one can perform by breaking out of the app environment and exfiltrating files, making remote connections etc. happens during the post exploitation phase in the subsequent system - in this case, the OS. AT:P: An attacker needs to be able to influence the input prompt, whilst the server is configured with the VectorSQLDatabaseChain plugin.

References

▼	URL	Tags
	https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAINEXPERIMENTAL-7278171
	https://github.com/langchain-ai/langchain/blob/672907bbbb7c38bf19787b78e4ffd7c8a9026fe4/libs/experimental/langchain_experimental/sql/vector_sql.py%23L81
	https://github.com/langchain-ai/langchain/commit/7b13292e3544b2f5f2bfb8a27a062ea2b0c34561

Impacted products

▼	Vendor	Product
	n/a	langchain-experimental

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "affected": [
          {
            "cpes": [
              "cpe:2.3:a:langchain:langchain_experimental:0.0.15:*:*:*:*:python:*:*"
            ],
            "defaultStatus": "unknown",
            "product": "langchain_experimental",
            "vendor": "langchain",
            "versions": [
              {
                "lessThan": "0.0.21",
                "status": "affected",
                "version": "0.0.15",
                "versionType": "custom"
              }
            ]
          }
        ],
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-21513",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2024-07-15T19:05:37.533971Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "problemTypes": [
          {
            "descriptions": [
              {
                "cweId": "CWE-94",
                "description": "CWE-94 Improper Control of Generation of Code (\u0027Code Injection\u0027)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2024-07-15T19:10:56.283Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      },
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-01T22:20:40.879Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAINEXPERIMENTAL-7278171"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/langchain-ai/langchain/blob/672907bbbb7c38bf19787b78e4ffd7c8a9026fe4/libs/experimental/langchain_experimental/sql/vector_sql.py%23L81"
          },
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://github.com/langchain-ai/langchain/commit/7b13292e3544b2f5f2bfb8a27a062ea2b0c34561"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "langchain-experimental",
          "vendor": "n/a",
          "versions": [
            {
              "lessThan": "0.0.21",
              "status": "affected",
              "version": "0.0.15",
              "versionType": "semver"
            }
          ]
        }
      ],
      "credits": [
        {
          "lang": "en",
          "value": "Rory McNamara (Snyk Security Research)"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Versions of the package langchain-experimental from 0.0.15 and before 0.0.21 are vulnerable to Arbitrary Code Execution when retrieving values from the database, the code will attempt to call \u0027eval\u0027 on all values. An attacker can exploit this vulnerability and execute arbitrary python code if they can control the input prompt and the server is configured with VectorSQLDatabaseChain.\r\r**Notes:**\r\rImpact on the Confidentiality, Integrity and Availability of the vulnerable component:\r\rConfidentiality: Code execution happens within the impacted component, in this case langchain-experimental, so all resources are necessarily accessible.\r\rIntegrity: There is nothing protected by the impacted component inherently. Although anything returned from the component counts as \u0027information\u0027 for which the trustworthiness can be compromised.\r\rAvailability: The loss of availability isn\u0027t caused by the attack itself, but it happens as a result during the attacker\u0027s post-exploitation steps.\r\r\rImpact on the Confidentiality, Integrity and Availability of the subsequent system:\r\rAs a legitimate low-privileged user of the package (PR:L) the attacker does not have more access to data owned by the package as a result of this vulnerability than they did with normal usage (e.g. can query the DB). The unintended action that one can perform by breaking out of the app environment and exfiltrating files, making remote connections etc. happens during the post exploitation phase in the subsequent system - in this case, the OS.\r\rAT:P: An attacker needs to be able to influence the input prompt, whilst the server is configured with the VectorSQLDatabaseChain plugin."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "LOW",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H/E:P",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
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            {
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              "lang": "en"
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      ],
      "providerMetadata": {
        "dateUpdated": "2024-07-15T05:00:04.083Z",
        "orgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
        "shortName": "snyk"
      },
      "references": [
        {
          "url": "https://security.snyk.io/vuln/SNYK-PYTHON-LANGCHAINEXPERIMENTAL-7278171"
        },
        {
          "url": "https://github.com/langchain-ai/langchain/blob/672907bbbb7c38bf19787b78e4ffd7c8a9026fe4/libs/experimental/langchain_experimental/sql/vector_sql.py%23L81"
        },
        {
          "url": "https://github.com/langchain-ai/langchain/commit/7b13292e3544b2f5f2bfb8a27a062ea2b0c34561"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "bae035ff-b466-4ff4-94d0-fc9efd9e1730",
    "assignerShortName": "snyk",
    "cveId": "CVE-2024-21513",
    "datePublished": "2024-07-15T05:00:04.083Z",
    "dateReserved": "2023-12-22T12:33:20.120Z",
    "dateUpdated": "2024-08-01T22:20:40.879Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

Sightings

Author	Source	Type	Date

Nomenclature

Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
Confirmed: The vulnerability is confirmed from an analyst perspective.
Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
Patched: This vulnerability was successfully patched by the user reporting the sighting.
Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
Not confirmed: The user expresses doubt about the veracity of the vulnerability.
Not patched: This vulnerability was not successfully patched by the user reporting the sighting.

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