CWE-918

{
  "affected": [
    {
      "package": {
        "ecosystem": "npm",
        "name": "@strapi/strapi"
      },
      "versions": [
        "4.24.4"
      ]
    }
  ],
  "aliases": [
    "CVE-2024-37818"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2024-10-04T23:33:29Z",
    "nvd_published_at": "2024-06-20T19:15:50Z",
    "severity": "HIGH"
  },
  "details": "Strapi v4.24.4 was discovered to contain a Server-Side Request Forgery (SSRF) via the component /strapi.io/_next/image. This vulnerability allows attackers to scan for open ports or access sensitive information via a crafted GET request.",
  "id": "GHSA-p9ff-j98v-p435",
  "modified": "2024-10-04T23:33:29Z",
  "published": "2024-06-20T21:31:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-37818"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/strapi/strapi"
    },
    {
      "type": "WEB",
      "url": "https://medium.com/%40barkadevaibhav491/server-side-request-forgery-in-strapi-e02d5fe218ab"
    },
    {
      "type": "WEB",
      "url": "https://strapi.io"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Strapi Server-Side Request Forgery (SSRF)"
}

{
  "affected": [],
  "aliases": [
    "CVE-2024-5021"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-06-19T04:15:13Z",
    "severity": "CRITICAL"
  },
  "details": "The WordPress Picture / Portfolio / Media Gallery plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 3.0.1 via the \u0027file_get_contents\u0027 function. This makes it possible for unauthenticated attackers to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services.",
  "id": "GHSA-p9qx-7mff-gw6f",
  "modified": "2024-06-19T06:30:35Z",
  "published": "2024-06-19T06:30:35Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-5021"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/nimble-portfolio/trunk/includes/prettyphoto/download-image.php#L17"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/224a2d6d-7fdc-43a8-a8c9-26213b604433?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "label-studio"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.6.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-36551"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-10-04T21:57:17Z",
    "nvd_published_at": "2022-10-03T12:15:00Z",
    "severity": "HIGH"
  },
  "details": "A Server Side Request Forgery (SSRF) in the Data Import module in Heartex - Label Studio Community Edition versions 1.5.0 and earlier allows an authenticated user to access arbitrary files on the system. Furthermore, self-registration is enabled by default in these versions of Label Studio enabling a remote attacker to create a new account and then exploit the SSRF. This issue is fixed in version 1.6.0.",
  "id": "GHSA-pc6f-259w-w3j6",
  "modified": "2024-09-27T21:17:52Z",
  "published": "2022-10-04T00:00:25Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-36551"
    },
    {
      "type": "WEB",
      "url": "https://github.com/heartexlabs/label-studio/pull/2840"
    },
    {
      "type": "WEB",
      "url": "https://github.com/heartexlabs/label-studio/commit/501142cb815ac964b0c600c491885b67386870c2"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/heartexlabs/label-studio"
    },
    {
      "type": "WEB",
      "url": "https://github.com/heartexlabs/label-studio/releases/tag/1.6.0"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/label-studio/PYSEC-2022-300.yaml"
    },
    {
      "type": "WEB",
      "url": "http://heartex.com"
    },
    {
      "type": "WEB",
      "url": "http://labelstud.io"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/171548/Label-Studio-1.5.0-Server-Side-Request-Forgery.html"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Heartex - Label Studio Community Edition vulnerable to SSRF in the Data Import module"
}

{
  "affected": [],
  "aliases": [
    "CVE-2025-58829"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-09-05T14:15:55Z",
    "severity": "MODERATE"
  },
  "details": "Server-Side Request Forgery (SSRF) vulnerability in aitool Ai Auto Tool Content Writing Assistant (Gemini Writer, ChatGPT ) All in One allows Server Side Request Forgery. This issue affects Ai Auto Tool Content Writing Assistant (Gemini Writer, ChatGPT ) All in One: from n/a through 2.2.6.",
  "id": "GHSA-pc74-v89m-r259",
  "modified": "2026-04-01T18:36:05Z",
  "published": "2025-09-05T15:31:08Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-58829"
    },
    {
      "type": "WEB",
      "url": "https://patchstack.com/database/wordpress/plugin/ai-auto-tool/vulnerability/wordpress-ai-auto-tool-content-writing-assistant-gemini-writer-chatgpt-all-in-one-plugin-2-2-6-server-side-request-forgery-ssrf-vulnerability?_s_id=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2022-23071"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-06-19T11:15:00Z",
    "severity": "MODERATE"
  },
  "details": "In Recipes, versions 0.9.1 through 1.2.5 are vulnerable to Server Side Request Forgery (SSRF), in the \u201cImport Recipe\u201d functionality. When an attacker enters the localhost URL, a low privileged attacker can access/read the internal file system to access sensitive information.",
  "id": "GHSA-pc7x-r4c4-7qqw",
  "modified": "2022-06-29T00:00:28Z",
  "published": "2022-06-20T00:00:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-23071"
    },
    {
      "type": "WEB",
      "url": "https://github.com/TandoorRecipes/recipes/commit/d48fe26a3529cc1ee903ffb2758dfd8f7efaba8c"
    },
    {
      "type": "WEB",
      "url": "https://www.mend.io/vulnerability-database/CVE-2022-23071"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2024-48951"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2024-11-07T17:15:08Z",
    "severity": "HIGH"
  },
  "details": "An issue was discovered in Logpoint before 7.5.0. Server-Side Request Forgery (SSRF) on SOAR can be used to leak Logpoint\u0027s API Token leading to authentication bypass.",
  "id": "GHSA-pcrp-7g2p-q7pj",
  "modified": "2024-11-07T21:31:43Z",
  "published": "2024-11-07T18:31:23Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-48951"
    },
    {
      "type": "WEB",
      "url": "https://docs.logpoint.com/docs/whats-new-in-logpoint/en/latest"
    },
    {
      "type": "WEB",
      "url": "https://servicedesk.logpoint.com/hc/en-us/articles/21968916591261-Server-Side-Request-Forgery-SSRF-on-SOAR-results-in-authentication-bypass"
    },
    {
      "type": "WEB",
      "url": "https://servicedesk.logpoint.com/hc/en-us/sections/7201103730845-Product-Security"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [],
  "aliases": [
    "CVE-2026-11370"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-24T07:16:26Z",
    "severity": "MODERATE"
  },
  "details": "The WP Meta SEO plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 4.5.18 via the \u0027new_link\u0027 parameter. This makes it possible for authenticated attackers, with contributor-level access and above, to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services. The HTTP response status from outbound requests is reflected back in the AJAX JSON response as status_code, providing an enumeration oracle usable for probing internal hosts and cloud metadata services.",
  "id": "GHSA-pcx4-v3rh-gq5x",
  "modified": "2026-06-24T09:30:45Z",
  "published": "2026-06-24T09:30:45Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11370"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/wp-meta-seo/tags/4.5.18/inc/class.metaseo-admin.php#L4783"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/wp-meta-seo/tags/4.5.18/inc/class.metaseo-broken-link-table.php#L1138"
    },
    {
      "type": "WEB",
      "url": "https://plugins.trac.wordpress.org/browser/wp-meta-seo/tags/4.5.18/inc/class.metaseo-broken-link-table.php#L2013"
    },
    {
      "type": "WEB",
      "url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/2a6e37c1-aaac-4642-bace-234bbc4f6c38?source=cve"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ]
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "vllm"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.16.0"
            },
            {
              "fixed": "0.19.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-34753"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-04-03T21:51:00Z",
    "nvd_published_at": "2026-04-06T16:16:36Z",
    "severity": "MODERATE"
  },
  "details": "### Summary\n\nA Server Side Request Forgery (SSRF) vulnerability in `download_bytes_from_url` allows any actor who can control batch input JSON to make the vLLM batch runner issue arbitrary HTTP/HTTPS requests from the server, without any URL validation or domain restrictions.\n\nThis can be used to target internal services (e.g. cloud metadata endpoints or internal HTTP APIs) reachable from the vLLM host.\n\n------\n\n### Details\n\n#### Vulnerable component\n\nThe vulnerable logic is in the batch runner entrypoint `vllm/entrypoints/openai/run_batch.py`, function `download_bytes_from_url`:\n\n```\n# run_batch.py Lines 442-482\nasync def download_bytes_from_url(url: str) -\u003e bytes:\n    \"\"\"\n    Download data from a URL or decode from a data URL.\n\n    Args:\n        url: Either an HTTP/HTTPS URL or a data URL (data:...;base64,...)\n\n    Returns:\n        Data as bytes\n    \"\"\"\n    parsed = urlparse(url)\n\n    # Handle data URLs (base64 encoded)\n    if parsed.scheme == \"data\":\n        # Format: data:...;base64,\u003cbase64_data\u003e\n        if \",\" in url:\n            header, data = url.split(\",\", 1)\n            if \"base64\" in header:\n                return base64.b64decode(data)\n            else:\n                raise ValueError(f\"Unsupported data URL encoding: {header}\")\n        else:\n            raise ValueError(f\"Invalid data URL format: {url}\")\n\n    # Handle HTTP/HTTPS URLs\n    elif parsed.scheme in (\"http\", \"https\"):\n        async with (\n            aiohttp.ClientSession() as session,\n            session.get(url) as resp,\n        ):\n            if resp.status != 200:\n                raise Exception(\n                    f\"Failed to download data from URL: {url}. Status: {resp.status}\"\n                )\n            return await resp.read()\n\n    else:\n        raise ValueError(\n            f\"Unsupported URL scheme: {parsed.scheme}. \"\n            \"Supported schemes: http, https, data\"\n        )\n```\n\nKey properties:\n\n- The function only parses the URL to dispatch on the scheme (`data`, `http`, `https`).\n- For `http` / `https`, it directly calls `session.get(url)` on the provided string.\n- There is no validation of:\n  - hostname or IP address,\n  - whether the target is internal or external,\n  - port number,\n  - path, query, or redirect target.\n- This is in contrast to the multimodal media path (`MediaConnector`), which implements an explicit domain allowlist. `download_bytes_from_url` does not reuse that protection.\n\n#### URL controllability\n\nThe `url` argument is fully controlled by batch input JSON via the `file_url` field of `BatchTranscriptionRequest` / `BatchTranslationRequest`.\n\n1. Batch request body type:\n\n```\n# run_batch.py Line 67-80\nclass BatchTranscriptionRequest(TranscriptionRequest):\n    \"\"\"\n    Batch transcription request that uses file_url instead of file.\n\n    This class extends TranscriptionRequest but replaces the file field\n    with file_url to support batch processing from audio files written in JSON format.\n    \"\"\"\n\n    file_url: str = Field(\n        ...,\n        description=(\n            \"Either a URL of the audio or a data URL with base64 encoded audio data. \"\n        ),\n    )\n```\n\n```\n# run_batch.py Line 98-111\nclass BatchTranslationRequest(TranslationRequest):\n    \"\"\"\n    Batch translation request that uses file_url instead of file.\n\n    This class extends TranslationRequest but replaces the file field\n    with file_url to support batch processing from audio files written in JSON format.\n    \"\"\"\n\n    file_url: str = Field(\n        ...,\n        description=(\n            \"Either a URL of the audio or a data URL with base64 encoded audio data. \"\n        ),\n    )\n```\n\nThere is no restriction on the domain, IP, or port of `file_url` in these models.\n\n1. Batch input is parsed directly from the batch file:\n\n```\n# run_batch.py Line 139-179\nclass BatchRequestInput(OpenAIBaseModel):\n    ...\n    url: str\n    body: BatchRequestInputBody\n    @field_validator(\"body\", mode=\"plain\")\n    @classmethod\n    def check_type_for_url(cls, value: Any, info: ValidationInfo):\n        url: str = info.data[\"url\"]\n        ...\n        if url == \"/v1/audio/transcriptions\":\n            return BatchTranscriptionRequest.model_validate(value)\n        if url == \"/v1/audio/translations\":\n            return BatchTranslationRequest.model_validate(value)\n```\n\n```\n# run_batch.py Line 770-781\n   logger.info(\"Reading batch from %s...\", args.input_file)\n\n    # Submit all requests in the file to the engine \"concurrently\".\n    response_futures: list[Awaitable[BatchRequestOutput]] = []\n    for request_json in (await read_file(args.input_file)).strip().split(\"\\n\"):\n        # Skip empty lines.\n        request_json = request_json.strip()\n        if not request_json:\n            continue\n\n        request = BatchRequestInput.model_validate_json(request_json)\n```\n\nThe batch runner reads each line of the input file (`args.input_file`), parses it as JSON, and constructs a `BatchTranscriptionRequest` / `BatchTranslationRequest`. Whatever `file_url` appears in that JSON line becomes `batch_request_body.file_url`.\n\n1. `file_url` is passed directly into `download_bytes_from_url`:\n\n```\n# run_batch.py Line 610-623\ndef wrapper(handler_fn: Callable):\n        async def transcription_wrapper(\n            batch_request_body: (BatchTranscriptionRequest | BatchTranslationRequest),\n        ) -\u003e (\n            TranscriptionResponse\n            | TranscriptionResponseVerbose\n            | TranslationResponse\n            | TranslationResponseVerbose\n            | ErrorResponse\n        ):\n            try:\n                # Download data from URL\n                audio_data = await download_bytes_from_url(batch_request_body.file_url)\n```\n\nSo the data flow is:\n\n1. Attacker supplies JSON line in the batch input file with arbitrary `body.file_url`.\n2. `BatchRequestInput` / `BatchTranscriptionRequest` / `BatchTranslationRequest` parse that JSON and store `file_url` verbatim.\n3. `make_transcription_wrapper` calls `download_bytes_from_url(batch_request_body.file_url)`.\n4. `download_bytes_from_url`\u2019s HTTP/HTTPS branch issues `aiohttp.ClientSession().get(url)` to that attacker-controlled URL with no further validation.\n\nThis is a classic SSRF pattern: a server-side component makes arbitrary HTTP requests to a URL string taken from untrusted input.\n\n#### Comparison with safer code\n\nThe project already contains a safer URL-handling path for multimodal media in `vllm/multimodal/media/connector.py`, which demonstrates the intent to mitigate SSRF via domain allowlists and URL normalization:\n\n```\n# connector.py Lines 169-189\n def load_from_url(\n        self,\n        url: str,\n        media_io: MediaIO[_M],\n        *,\n        fetch_timeout: int | None = None,\n    ) -\u003e _M:  # type: ignore[type-var]\n        url_spec = parse_url(url)\n\n        if url_spec.scheme and url_spec.scheme.startswith(\"http\"):\n            self._assert_url_in_allowed_media_domains(url_spec)\n\n            connection = self.connection\n            data = connection.get_bytes(\n                url_spec.url,\n                timeout=fetch_timeout,\n                allow_redirects=envs.VLLM_MEDIA_URL_ALLOW_REDIRECTS,\n            )\n\n            return media_io.load_bytes(data)\n```\n\nand:\n\n```\n# connector.py Lines 158-167\n  def _assert_url_in_allowed_media_domains(self, url_spec: Url) -\u003e None:\n        if (\n            self.allowed_media_domains\n            and url_spec.hostname not in self.allowed_media_domains\n        ):\n            raise ValueError(\n                f\"The URL must be from one of the allowed domains: \"\n                f\"{self.allowed_media_domains}. Input URL domain: \"\n                f\"{url_spec.hostname}\"\n            )\n```\n\n`download_bytes_from_url` does not reuse this allowlist or any equivalent validation, even though it also fetches user-provided URLs.",
  "id": "GHSA-pf3h-qjgv-vcpr",
  "modified": "2026-07-17T16:18:19Z",
  "published": "2026-04-03T21:51:00Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-pf3h-qjgv-vcpr"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34753"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/pull/38482"
    },
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/commit/57861ae48d3493fa48b4d7d830b7ec9f995783e7"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-pf3h-qjgv-vcpr"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-3410.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/vllm-project/vllm"
    },
    {
      "type": "WEB",
      "url": "https://pypi.org/project/vllm"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "vLLM: Server-Side Request Forgery (SSRF) in `download_bytes_from_url `"
}

{
  "affected": [],
  "aliases": [
    "CVE-2021-20347"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2021-06-02T21:15:00Z",
    "severity": "MODERATE"
  },
  "details": "IBM Jazz Foundation and IBM Engineering products are vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. IBM X-Force ID: 194596.",
  "id": "GHSA-pf5r-4cpx-xcxm",
  "modified": "2022-05-24T19:03:50Z",
  "published": "2022-05-24T19:03:50Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-20347"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/194596"
    },
    {
      "type": "WEB",
      "url": "https://www.ibm.com/support/pages/node/6457739"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

{
  "affected": [
    {
      "package": {
        "ecosystem": "Packagist",
        "name": "dompdf/dompdf"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.0.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2022-0085"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-918"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2022-07-05T22:12:46Z",
    "nvd_published_at": "2022-06-28T15:15:00Z",
    "severity": "MODERATE"
  },
  "details": "Server-Side Request Forgery (SSRF) in GitHub repository dompdf/dompdf prior to 2.0.0.",
  "id": "GHSA-pf6p-25r2-fx45",
  "modified": "2022-08-12T21:03:44Z",
  "published": "2022-06-29T00:00:27Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-0085"
    },
    {
      "type": "WEB",
      "url": "https://github.com/dompdf/dompdf/commit/bb1ef65011a14730b7cfbe73506b4bb8a03704bd"
    },
    {
      "type": "WEB",
      "url": "https://github.com/FriendsOfPHP/security-advisories/blob/master/dompdf/dompdf/CVE-2022-0085.yaml"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/dompdf/dompdf"
    },
    {
      "type": "WEB",
      "url": "https://huntr.dev/bounties/73dbcc78-5ba9-492f-9133-13bbc9f31236"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "Server-Side Request Forgery in dompdf/dompdf"
}