{"items":[{"id":"NVI-00012072","kind":"vulnerability","title":"Pydantic AI: Excessive resource use when local web fetching converts nested HTML","revision":3,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected.","NVD lastModified does not establish freshness of every associated CPE record."],"lifecycle":"active","identifiers":["GHSA-v36g-jcw9-x7cw","CVE-2026-107287"],"plain_summary":"GitHub lists this reviewed advisory for pydantic-ai, pydantic-ai, pydantic-ai-slim, pydantic-ai-slim. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-09532c678abbeacf9ba82d31ae7c90c0"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-10-08T17:40:52.000Z","value":"6.5 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-9dbe96f68374f58dbf11d40fe00dcd89"},{"kind":"CVSS","as_of":"2026-10-14T01:17:04.887Z","value":"6.5 MEDIUM (3.1)","meaning":"security-advisories@github.com severity; no combined Null risk score.","source_id":"sr-6116f171105993ba6619002d169725bd"},{"kind":"EPSS","as_of":"2026-11-03T12:00:27.000Z","value":"0.277%","meaning":"FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.20188. Missing scores are unknown.","source_id":"sr-09532c678abbeacf9ba82d31ae7c90c0"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-9dbe96f68374f58dbf11d40fe00dcd89","url":"https://github.com/advisories/GHSA-v36g-jcw9-x7cw","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-v36g-jcw9-x7cw","publisher":"GitHub Advisory Database","observed_at":"2026-11-01T00:58:38.867Z"},{"id":"sr-6116f171105993ba6619002d169725bd","url":"https://nvd.nist.gov/vuln/detail/CVE-2026-107287","basis":"official_catalog","notes":"This product uses data from the NVD API but is not endorsed or certified by the NVD.","title":"CVE-2026-107287","publisher":"NIST National Vulnerability Database","observed_at":"2026-11-03T09:58:29.490Z"},{"id":"sr-09532c678abbeacf9ba82d31ae7c90c0","url":"https://www.first.org/epss/data.html","basis":"official_catalog","notes":"FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.","title":"CVE-2026-107287","publisher":"FIRST EPSS","observed_at":"2026-11-03T17:44:07.774Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 1.77.0, < 1.107.7"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 2.0.0b1, < 2.52.0"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai-slim","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 1.77.0, < 1.107.7"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai-slim","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 2.0.0b1, < 2.52.0"]}],"null_published_at":"2026-11-07T07:07:42.474Z","source_updated_at":"2026-10-08T17:40:52.000Z","source_disclosed_at":"2026-10-08T17:40:50.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"Source facts changed; compare the preserved prior revision.","null_first_observed_at":"2026-11-01T00:58:38.867Z"},{"id":"NVI-00012072","kind":"vulnerability","title":"Pydantic AI: Excessive resource use when local web fetching converts nested HTML","revision":2,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-v36g-jcw9-x7cw","CVE-2026-107287"],"plain_summary":"GitHub lists this reviewed advisory for pydantic-ai, pydantic-ai, pydantic-ai-slim, pydantic-ai-slim. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-09532c678abbeacf9ba82d31ae7c90c0"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-10-08T17:40:52.000Z","value":"6.5 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-9dbe96f68374f58dbf11d40fe00dcd89"},{"kind":"EPSS","as_of":"2026-11-03T12:00:27.000Z","value":"0.277%","meaning":"FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.20188. Missing scores are unknown.","source_id":"sr-09532c678abbeacf9ba82d31ae7c90c0"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-9dbe96f68374f58dbf11d40fe00dcd89","url":"https://github.com/advisories/GHSA-v36g-jcw9-x7cw","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-v36g-jcw9-x7cw","publisher":"GitHub Advisory Database","observed_at":"2026-11-01T00:58:38.867Z"},{"id":"sr-09532c678abbeacf9ba82d31ae7c90c0","url":"https://www.first.org/epss/data.html","basis":"official_catalog","notes":"FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.","title":"CVE-2026-107287","publisher":"FIRST EPSS","observed_at":"2026-11-03T17:44:07.774Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 1.77.0, < 1.107.7"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 2.0.0b1, < 2.52.0"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai-slim","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 1.77.0, < 1.107.7"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai-slim","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 2.0.0b1, < 2.52.0"]}],"null_published_at":"2026-11-04T10:04:41.562Z","source_updated_at":"2026-10-08T17:40:52.000Z","source_disclosed_at":"2026-10-08T17:40:50.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.","null_first_observed_at":"2026-11-01T00:58:38.867Z"},{"id":"NVI-00012072","kind":"vulnerability","title":"Pydantic AI: Excessive resource use when local web fetching converts nested HTML","revision":1,"unknowns":["Customer inventory, deployment, reachability and exploitation have not been inspected."],"lifecycle":"active","identifiers":["GHSA-v36g-jcw9-x7cw","CVE-2026-107287"],"plain_summary":"GitHub lists this reviewed advisory for pydantic-ai, pydantic-ai, pydantic-ai-slim, pydantic-ai-slim. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.","review_status":"source_listed","control_topics":[],"public_actions":[{"summary":"Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"action_type":"investigate","limitations":"Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system.","current_supported_target":null}],"schema_version":"1.1.0","source_metrics":[{"kind":"CVSS","as_of":"2026-10-08T17:40:52.000Z","value":"6.5 medium","meaning":"GitHub source severity; exploitability and local consequence require separate evidence.","source_id":"sr-9dbe96f68374f58dbf11d40fe00dcd89"}],"why_it_matters":"Published affected context helps an owner decide what evidence to gather. This report has not examined your application.","related_sources":[{"id":"sr-9dbe96f68374f58dbf11d40fe00dcd89","url":"https://github.com/advisories/GHSA-v36g-jcw9-x7cw","basis":"vendor_advisory","notes":"GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.","title":"GHSA-v36g-jcw9-x7cw","publisher":"GitHub Advisory Database","observed_at":"2026-11-01T00:58:38.867Z"}],"affected_context":[{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 1.77.0, < 1.107.7"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 2.0.0b1, < 2.52.0"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai-slim","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 1.77.0, < 1.107.7"]},{"certainty":"source_listed","source_ids":["sr-9dbe96f68374f58dbf11d40fe00dcd89"],"technology":"pydantic-ai-slim","known_exclusions":[],"conditions_summary":"### Summary\n\nApplications using Pydantic AI's local web-fetch tool can experience excessive CPU and memory use when it converts attacker-controlled HTML. An agent must fetch the affected page; provider-native web fetching is not affected.\n\n### Details\n\nNested block elements cause HTML-to-Markdown conversion to reprocess accumulated text at each level and can greatly expand the intermediate output. The response-body limit bounds downloaded bytes, while the returned-content limit is applied only after conversion. On current releases, conversion runs in a worker thread but can still consume substantial resources and delay other work in the process. Older releases performed conversion on the event loop.\n\n### Mitigation\n\nUpgrade to a patched release of `pydantic-ai` or `pydantic-ai-slim`. If you cannot upgrade yet, avoid using local web fetching for attacker-controlled HTML.","public_affected_ranges":[">= 2.0.0b1, < 2.52.0"]}],"null_published_at":"2026-11-01T01:03:56.628Z","source_updated_at":"2026-10-08T17:40:52.000Z","source_disclosed_at":"2026-10-08T17:40:50.000Z","is_synthetic_fixture":false,"null_last_reviewed_at":null,"public_change_summary":"First indexed by Null; source disclosure date is shown separately.","null_first_observed_at":"2026-11-01T00:58:38.867Z"}],"next_cursor":null,"snapshot_revision":"42594"}