dd-trace-py: Improper parsing of W3C baggage headers may lead to DoS
Datadog dd-trace-py is the Datadog Python APM client. Prior to 4.8.2, Datadog tracing libraries that implement W3C baggage propagation parse incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES limits on the extract path. A remote, unauthenticated attacker can send a request whose baggage header contains an arbitrarily large number of comma-separated key-value pairs or a single very large value, causing unbounded CPU and memory consumption and enabling a remote denial of service against HTTP services with baggage propagation enabled. This issue is fixed in version 4.8.2.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2026-50271
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 6 Nov 2026, 02:43 UTC · Revision 1
Source evidence
dd-trace-py: Improper parsing of W3C baggage headers may lead to DoS
core-osv · Original sourcePublished 17 Jul 2026, 20:42 UTC
Datadog dd-trace-py is the Datadog Python APM client. Prior to 4.8.2, Datadog tracing libraries that implement W3C baggage propagation parse incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES limits on the extract path. A remote, unauthenticated attacker can send a request whose baggage header contains an arbitrarily large number of comma-separated key-value pairs or a single very large value, causing unbounded CPU and memory consumption and enabling a remote denial of service against HTTP services with baggage propagation enabled. This issue is fixed in version 4.8.2.
osv:CVE-2026-50271
Complete source record
{
"id": "a397dd06dd45b8f090bb2f746d020009780bcf5e8b8c3a452f587c9d7e3c088c",
"url": "https://osv.dev/vulnerability/CVE-2026-50271",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "dd-trace-py: Improper parsing of W3C baggage headers may lead to DoS",
"summary": "Datadog dd-trace-py is the Datadog Python APM client. Prior to 4.8.2, Datadog tracing libraries that implement W3C baggage propagation parse incoming baggage HTTP headers without enforcing DD_TRACE_BAGGAGE_MAX_ITEMS or DD_TRACE_BAGGAGE_MAX_BYTES limits on the extract path. A remote, unauthenticated attacker can send a request whose baggage header contains an arbitrarily large number of comma-separated key-value pairs or a single very large value, causing unbounded CPU and memory consumption and enabling a remote denial of service against HTTP services with baggage propagation enabled. This issue is fixed in version 4.8.2.",
"evidence": "osv:CVE-2026-50271",
"products": [],
"severity": "high",
"structured": {
"id": "CVE-2026-50271",
"aliases": [
"CVE-2026-50271",
"GHSA-mw54-j2v2-42hr",
"PYSEC-2026-3461"
],
"metrics": [
{
"type": "CVSS_V3",
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"
}
],
"affected": [
{
"ranges": [
{
"repo": "https://github.com/datadog/dd-trace-py",
"type": "GIT",
"events": [
{
"introduced": "0"
},
{
"fixed": "58d0fd22d5d203637283843f8450bcdf64959fec"
},
{
"fixed": "9c80faa3dcfe238d008c3b3cd0b8e5dfef0aa4cd"
}
],
"database_specific": {
"extracted_events": [
{
"range": [
{
"introduced": "0"
},
{
"fixed": "4.8.2"
}
],
"source": "AFFECTED_FIELD",
"strategy": "StringRangeExpression"
},
{
"range": [
{
"fixed": "9c80faa3dcfe238d008c3b3cd0b8e5dfef0aa4cd"
}
],
"source": "REFERENCES_COMMIT"
},
{
"range": [
{
"fixed": "58d0fd22d5d203637283843f8450bcdf64959fec"
}
],
"source": "REFERENCES_TAG",
"original_tag": "v4.8.2"
}
]
}
}
],
"versions": [
"v4.8.1",
"v4.8.0",
"v4.8.0rc5",
"v4.8.0rc4",
"v4.8.0rc2",
"v4.8.0rc3",
"v4.7.0rc4",
"v4.8.0rc1",
"v4.7.0rc3",
"v4.7.0rc2",
"v4.7.0rc1",
"v4.6.0rc3",
"v4.6.0rc2",
"v4.6.0rc1",
"v4.5.0rc2",
"v4.5.0rc1",
"v4.4.0rc3",
"v4.4.0rc2",
"v4.4.0rc1",
"v4.3.0rc1",
"v4.1.0rc1",
"v4.0.0rc1",
"v3.18.0rc2",
"v3.18.0",
"v3.18.0rc1",
"v3.17.0rc1",
"v3.17.0",
"v3.16.0rc2",
"v3.16.0",
"v3.15.0rc1",
"v3.15.0",
"v3.16.0rc1",
"v3.14.0rc2",
"v3.14.0",
"v3.14.0rc1",
"v3.13.0rc1",
"v3.12.0rc3",
"v3.12.0",
"v3.12.0rc2",
"v3.12.0rc1",
"v3.11.0rc3",
"v3.11.0",
"v3.11.0rc2",
"v3.11.0rc1",
"v3.10.0rc3",
"v3.10.0",
"v3.10.0rc2",
"v3.10.0rc1",
"v3.9.0rc2",
"v3.9.0",
"v3.9.0rc1",
"v3.8.0rc1",
"v3.7.0rc2",
"v3.7.0",
"v3.7.0rc1",
"v3.6.0rc1",
"v3.6.0",
"v3.5.1",
"v3.5.0rc1",
"v3.5.0",
"v3.4.0rc1",
"v3.3.0rc1",
"v3.2.0rc1",
"v3.2.0",
"v3.1.0rc1",
"v3.1.0",
"v3.0.0rc2",
"v3.0.0rc1",
"v2.20.0rc1",
"v2.20.0",
"v2.19.0rc1",
"v2.18.0rc1",
"v2.17.0rc1",
"v2.16.0rc1",
"v2.15.0rc1",
"v2.14.0rc1",
"v2.14.0",
"v2.13.0rc1",
"v2.12.0rc1",
"v2.11.0rc1",
"v2.10.0rc2",
"v2.10.0rc1",
"v2.9.0rc1",
"v2.8.0rc1",
"v2.7.0rc1",
"v2.6.0",
"v2.5.0rc1",
"v2.4.0rc1",
"v2.3.0",
"v2.3.0rc1",
"v2.2.0rc1",
"v2.2.0.pre",
"v2.0.0rc1",
"v1.20.0rc1",
"v1.20.0",
"v1.19.0rc1",
"v1.18.0rc1",
"v1.17.0rc1",
"v1.16.0rc1",
"v1.15.0rc1",
"v1.14.0rc1",
"v1.13.0rc1",
"v1.12.0rc1",
"v1.12.0",
"v1.11.0rc1",
"v1.11.0",
"v1.10.0rc2",
"v1.9.1",
"v1.10.0rc1",
"v1.9.0rc2",
"v1.9.0rc1",
"v1.8.0rc1",
"v1.7.0rc1",
"v1.6.0rc1",
"v1.5.0rc1",
"v1.4.0rc1",
"v1.3.0rc1",
"v1.2.0rc1",
"v1.1.0rc1",
"v0.59.0rc1",
"v0.58.0rc1",
"v0.57.0",
"v0.57.0rc3",
"v0.57.0rc2",
"v0.57.0rc1",
"v0.56.0rc3",
"v0.56.0rc2",
"v0.56.0rc1",
"v0.55.0rc1",
"v0.54.0rc1",
"v0.53.0rc1",
"v0.52.0rc1",
"v0.51.0rc2",
"v0.51.0rc1",
"v0.50.0rc5",
"v0.50.0rc4",
"v0.50.0rc3",
"v0.50.0rc2",
"v0.50.0rc1",
"v0.49.0rc1",
"v0.48.0rc1",
"v0.48.0rc2",
"v0.47.0rc1",
"v0.46.0rc1",
"v0.45.0rc1",
"v0.44.0rc1",
"v0.44.0",
"v0.43.0",
"v0.43.0rc1",
"v0.41.0",
"v0.42.0rc1",
"v0.38.0",
"v0.37.0",
"v0.36.0",
"v0.35.0",
"v0.34.0",
"v0.33.0",
"v0.31.0",
"v0.30.0",
"v0.29.0",
"v0.28.0",
"v0.27.0",
"v0.26.0",
"v0.25.0",
"v0.24.0",
"v0.23.0",
"v0.22.0",
"v0.21.1",
"v0.21.0",
"v0.20.4",
"v0.20.3",
"v0.20.2",
"v0.20.1",
"v0.20.0",
"v0.19.0",
"v0.18.0",
"v0.17.1",
"v0.17.0",
"v0.16.0",
"v0.15.0",
"v0.14.1",
"v0.14.0",
"v0.13.1",
"v0.13.0",
"v0.12.1",
"v0.12.0",
"v0.11.1",
"v0.11.0",
"v0.10.1",
"v0.10.0",
"v0.9.2",
"v0.9.1",
"v0.9.0",
"v0.8.5",
"v0.8.4",
"v0.8.3",
"v0.8.2",
"v0.8.1",
"v0.8.0",
"v0.7.0",
"v0.6.0",
"v0.5.5",
"v0.5.4",
"v0.5.3",
"v0.5.2",
"v0.5.1",
"v0.5.0",
"v0.4.0",
"v0.3.16",
"v0.3.15",
"v0.3.14",
"0.3.14",
"v0.3.13",
"v0.3.12",
"v0.3.11",
"v0.3.10",
"v0.3.9",
"v0.3.8",
"v0.3.7",
"v0.3.6",
"v0.3.5",
"v0.3.4",
"v0.3.3",
"v0.3.2",
"v0.3.1",
"v0.3.0"
],
"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2026-50271.json"
}
}
],
"modified": "2026-10-28T02:30:46.203974430Z",
"provider": "osv",
"references": [
"https://github.com/DataDog/dd-trace-py/releases/tag/v4.8.2",
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/50xxx/CVE-2026-50271.json",
"https://github.com/DataDog/dd-trace-py/security/advisories/GHSA-mw54-j2v2-42hr",
"https://nvd.nist.gov/vuln/detail/CVE-2026-50271",
"https://github.com/DataDog/dd-trace-py/commit/9c80faa3dcfe238d008c3b3cd0b8e5dfef0aa4cd",
"https://github.com/DataDog/dd-trace-py/pull/17926"
],
"provider_metadata": {
"cwe_ids": [
"CWE-770"
],
"cna_assigner": "GitHub_M",
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/50xxx/CVE-2026-50271.json"
}
},
"related_cves": [
{
"value": "CVE-2026-50271",
"evidence": "/id"
}
],
"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 514381,
"published_at": "2026-07-17T20:42:34.036+00:00"
}