漏洞信息
尽管我们使用了先进的大模型技术,但其输出仍可能包含不准确或过时的信息。神龙努力确保数据的准确性,但请您根据实际情况进行核实和判断。
Vulnerability Title
dd-trace-py: Improper parsing of W3C baggage headers may lead to DoS
Vulnerability Description
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.
CVSS Information
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Vulnerability Type
不加限制或调节的资源分配
Vulnerability Title
Datadog dd-trace-py 资源管理错误漏洞
Vulnerability Description
Datadog dd-trace-py是Datadog公司的一款Python应用程序的分布式追踪库。 Datadog dd-trace-py 4.8.2之前版本存在资源管理错误漏洞,该漏洞源于解析传入的baggage HTTP标头时未强制执行DD_TRACE_BAGGAGE_MAX_ITEMS或DD_TRACE_BAGGAGE_MAX_BYTES限制,可能导致远程未经验证的攻击者发送包含大量逗号分隔键值对或单个超大值的请求,造成CPU和内存无限制消耗,导致启用baggage传播的HTTP服务拒绝服务。
CVSS Information
N/A
Vulnerability Type
N/A