CVE-2026-50271 (GCVE-0-2026-50271)
Vulnerability from cvelistv5 – Published: 2026-07-17 20:42 – Updated: 2026-07-17 20:42
VLAI
EPSS
VEX
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.
Severity
7.5 (High)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/DataDog/dd-trace-py/security/a… | x_refsource_CONFIRM |
| https://github.com/DataDog/dd-trace-py/pull/17926 | x_refsource_MISC |
| https://github.com/DataDog/dd-trace-py/commit/9c8… | x_refsource_MISC |
| https://github.com/DataDog/dd-trace-py/releases/t… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| DataDog | dd-trace-py |
Affected:
< 4.8.2
|
{
"containers": {
"cna": {
"affected": [
{
"product": "dd-trace-py",
"vendor": "DataDog",
"versions": [
{
"status": "affected",
"version": "\u003c 4.8.2"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "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."
}
],
"metrics": [
{
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-770",
"description": "CWE-770: Allocation of Resources Without Limits or Throttling",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-07-17T20:42:34.036Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/DataDog/dd-trace-py/security/advisories/GHSA-mw54-j2v2-42hr",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/DataDog/dd-trace-py/security/advisories/GHSA-mw54-j2v2-42hr"
},
{
"name": "https://github.com/DataDog/dd-trace-py/pull/17926",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/DataDog/dd-trace-py/pull/17926"
},
{
"name": "https://github.com/DataDog/dd-trace-py/commit/9c80faa3dcfe238d008c3b3cd0b8e5dfef0aa4cd",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/DataDog/dd-trace-py/commit/9c80faa3dcfe238d008c3b3cd0b8e5dfef0aa4cd"
},
{
"name": "https://github.com/DataDog/dd-trace-py/releases/tag/v4.8.2",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/DataDog/dd-trace-py/releases/tag/v4.8.2"
}
],
"source": {
"advisory": "GHSA-mw54-j2v2-42hr",
"discovery": "UNKNOWN"
},
"title": "dd-trace-py: Improper parsing of W3C baggage headers may lead to DoS"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-50271",
"datePublished": "2026-07-17T20:42:34.036Z",
"dateReserved": "2026-06-04T16:26:05.984Z",
"dateUpdated": "2026-07-17T20:42:34.036Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-50271",
"date": "2026-06-14",
"epss": "0.00106",
"percentile": "0.28428"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-50271\",\"sourceIdentifier\":\"security-advisories@github.com\",\"published\":\"2026-07-17T21:17:07.070\",\"lastModified\":\"2026-07-17T21:17:07.070\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"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.\"}],\"affected\":[{\"source\":\"security-advisories@github.com\",\"affectedData\":[{\"vendor\":\"DataDog\",\"product\":\"dd-trace-py\",\"versions\":[{\"version\":\"\u003c 4.8.2\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H\",\"baseScore\":7.5,\"baseSeverity\":\"HIGH\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"NONE\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"NONE\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":3.9,\"impactScore\":3.6}]},\"weaknesses\":[{\"source\":\"security-advisories@github.com\",\"type\":\"Primary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-770\"}]}],\"references\":[{\"url\":\"https://github.com/DataDog/dd-trace-py/commit/9c80faa3dcfe238d008c3b3cd0b8e5dfef0aa4cd\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/DataDog/dd-trace-py/pull/17926\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/DataDog/dd-trace-py/releases/tag/v4.8.2\",\"source\":\"security-advisories@github.com\"},{\"url\":\"https://github.com/DataDog/dd-trace-py/security/advisories/GHSA-mw54-j2v2-42hr\",\"source\":\"security-advisories@github.com\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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