{"id":"PYSEC-2023-85","details":"Synapse is a Matrix protocol homeserver written in Python with the Twisted framework. A discovered oEmbed or image URL can bypass the `url_preview_url_blacklist` setting potentially allowing server side request forgery or bypassing network policies. Impact is limited to IP addresses allowed by the `url_preview_ip_range_blacklist` setting (by default this only allows public IPs) and by the limited information returned to the client: 1. For discovered oEmbed URLs, any non-JSON response or a JSON response which includes non-oEmbed information is discarded. 2. For discovered image URLs, any non-image response is discarded. Systems which have URL preview disabled (via the `url_preview_enabled` setting) or have not configured a `url_preview_url_blacklist` are not affected. This issue has been addressed in version 1.85.0. Users are advised to upgrade. User unable to upgrade may also disable URL previews.","aliases":["CVE-2023-32683","GHSA-98px-6486-j7qc"],"modified":"2023-11-08T04:12:35.562423Z","published":"2023-06-06T19:15:00Z","references":[{"type":"FIX","url":"https://github.com/matrix-org/synapse/security/advisories/GHSA-98px-6486-j7qc"},{"type":"FIX","url":"https://github.com/matrix-org/synapse/pull/15601"}],"affected":[{"package":{"name":"matrix-synapse","ecosystem":"PyPI","purl":"pkg:pypi/matrix-synapse"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.85.0"}]}],"versions":["0.33.5","0.33.5.1","0.33.6","0.33.6rc1","0.33.7","0.33.7rc1","0.33.7rc2","0.33.8","0.33.8rc2","0.33.9","0.34.0","0.34.0.1","0.34.0rc1","0.34.0rc2","0.34.1.1","0.99.0","0.99.0rc1","0.99.0rc2","0.99.0rc3","0.99.0rc4","0.99.1","0.99.1.1","0.99.1rc1","0.99.1rc2","0.99.2","0.99.2rc1","0.99.3","0.99.3.1","0.99.3.2","0.99.3rc1","0.99.4","0.99.4rc1","0.99.5","0.99.5.1","0.99.5.2","0.99.5rc1","1.0.0","1.0.0rc1","1.0.0rc2","1.0.0rc3","1.1.0","1.1.0rc1","1.1.0rc2","1.10.0","1.10.0rc1","1.10.0rc2","1.10.0rc3","1.10.0rc5","1.10.1","1.11.0","1.11.0rc1","1.11.1","1.12.0","1.12.0rc1","1.12.1","1.12.1rc1","1.12.2","1.12.3","1.12.4","1.12.4rc1","1.13.0","1.13.0rc1","1.13.0rc2","1.13.0rc3","1.14.0","1.14.0rc1","1.14.0rc2","1.15.0","1.15.0rc1","1.15.1","1.15.2","1.16.0","1.16.0rc1","1.16.0rc2","1.16.1","1.17.0","1.17.0rc1","1.18.0","1.18.0rc1","1.18.0rc2","1.19.0","1.19.0rc1","1.19.1","1.19.1rc1","1.19.2","1.19.3","1.2.0","1.2.0rc1","1.2.0rc2","1.2.1","1.20.0","1.20.0rc1","1.20.0rc2","1.20.0rc3","1.20.0rc4","1.20.0rc5","1.20.1","1.21.0","1.21.0rc1","1.21.0rc2","1.21.0rc3","1.21.1","1.21.2","1.22.0","1.22.0rc1","1.22.0rc2","1.22.1","1.23.0","1.23.0rc1","1.23.1","1.24.0","1.24.0rc1","1.24.0rc2","1.25.0","1.25.0rc1","1.26.0","1.26.0rc1","1.26.0rc2","1.27.0","1.27.0rc1","1.27.0rc2","1.28.0","1.28.0rc1","1.29.0","1.29.0rc1","1.3.0","1.3.0rc1","1.3.1","1.30.0","1.30.0rc1","1.30.1","1.31.0","1.31.0rc1","1.32.0","1.32.0rc1","1.32.1","1.32.2","1.33.0","1.33.0rc1","1.33.0rc2","1.33.1","1.33.2","1.34.0","1.34.0rc1","1.35.0","1.35.0rc1","1.35.0rc2","1.35.0rc3","1.35.1","1.36.0","1.36.0rc1","1.36.0rc2","1.37.0","1.37.0rc1","1.37.1","1.37.1rc1","1.38.0","1.38.0rc1","1.38.0rc2","1.38.0rc3","1.38.1","1.39.0","1.39.0rc1","1.39.0rc2","1.39.0rc3","1.4.0","1.4.0rc1","1.4.0rc2","1.4.1","1.4.1rc1","1.40.0","1.40.0rc1","1.40.0rc2","1.40.0rc3","1.41.0","1.41.0rc1","1.41.1","1.42.0","1.42.0rc1","1.42.0rc2","1.43.0","1.43.0rc1","1.43.0rc2","1.44.0","1.44.0rc1","1.44.0rc2","1.44.0rc3","1.45.0","1.45.0rc1","1.45.0rc2","1.45.1","1.46.0","1.46.0rc1","1.47.0","1.47.0rc1","1.47.0rc2","1.47.0rc3","1.47.1","1.48.0","1.48.0rc1","1.49.0","1.49.0rc1","1.49.2","1.5.0","1.5.0rc1","1.5.0rc2","1.5.1","1.50.0","1.50.0rc1","1.50.0rc2","1.50.1","1.50.2","1.51.0","1.51.0rc1","1.51.0rc2","1.52.0","1.52.0rc1","1.53.0","1.53.0rc1","1.54.0","1.54.0rc1","1.55.0","1.55.0rc1","1.55.1","1.55.2","1.56.0","1.56.0rc1","1.57.0","1.57.0rc1","1.57.1","1.58.0","1.58.0rc2","1.58.1","1.59.0","1.59.0rc1","1.59.0rc2","1.59.1","1.6.0","1.6.0rc1","1.6.0rc2","1.6.1","1.60.0","1.60.0rc1","1.60.0rc2","1.61.0","1.61.0rc1","1.61.1","1.62.0","1.62.0rc1","1.62.0rc2","1.62.0rc3","1.63.0","1.63.0rc1","1.63.1","1.64.0","1.64.0rc1","1.64.0rc2","1.65.0","1.65.0rc1","1.65.0rc2","1.66.0","1.66.0rc1","1.66.0rc2","1.67.0","1.67.0rc1","1.68.0","1.68.0rc1","1.68.0rc2","1.69.0","1.69.0rc1","1.69.0rc2","1.69.0rc4","1.7.0","1.7.0rc1","1.7.0rc2","1.7.1","1.7.2","1.7.3","1.70.0","1.70.0rc1","1.70.0rc2","1.70.1","1.71.0","1.71.0rc1","1.71.0rc2","1.72.0","1.72.0rc1","1.73.0","1.73.0rc2","1.74.0","1.74.0rc1","1.75.0","1.75.0rc1","1.75.0rc2","1.76.0","1.76.0rc1","1.76.0rc2","1.77.0","1.77.0rc1","1.77.0rc2","1.78.0","1.78.0rc1","1.79.0","1.79.0rc1","1.79.0rc2","1.8.0","1.8.0rc1","1.80.0","1.80.0rc1","1.80.0rc2","1.81.0","1.81.0rc1","1.81.0rc2","1.82.0","1.82.0rc1","1.83.0","1.83.0rc1","1.84.0","1.84.0rc1","1.84.1","1.85.0rc1","1.85.0rc2","1.9.0","1.9.0.dev1","1.9.0.dev2","1.9.0rc1","1.9.1"],"database_specific":{"source":"https://github.com/pypa/advisory-database/blob/main/vulns/matrix-synapse/PYSEC-2023-85.yaml"}}],"schema_version":"1.7.3"}