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SpdyStream: DOS on CRI

High severity GitHub Reviewed Published Apr 15, 2026 in moby/spdystream • Updated Apr 16, 2026

Package

gomod github.com/moby/spdystream (Go)

Affected versions

<= 0.5.0

Patched versions

0.5.1

Description

The SPDY/3 frame parser in spdystream does not validate
attacker-controlled counts and lengths before allocating memory. A
remote peer that can send SPDY frames to a service using spdystream can
cause the process to allocate gigabytes of memory with a small number of
malformed control frames, leading to an out-of-memory crash.
 
Three allocation paths in the receive side are affected:

  1. SETTINGS entry count -- The SETTINGS frame reader reads a 32-bit
    numSettings from the payload and allocates a slice of that size
    without checking it against the declared frame length. An attacker
    can set numSettings to a value far exceeding the actual payload,
    triggering a large allocation before any setting data is read.
     
  2. Header count -- parseHeaderValueBlock reads a 32-bit
    numHeaders from the decompressed header block and allocates an
    http.Header map of that size with no upper bound.
     
  3. Header field size -- Individual header name and value lengths are
    read as 32-bit integers and used directly as allocation sizes with
    no validation.
     
    Because SPDY header blocks are zlib-compressed, a small on-the-wire
    payload can decompress into attacker-controlled bytes that the parser
    interprets as 32-bit counts and lengths. A single crafted frame is
    enough to exhaust process memory.

Impact

 Any program that accepts SPDY connections using spdystream -- directly
or through a dependent library -- is affected. A remote peer that can
send SPDY frames to the service can crash the process with a single
crafted SPDY control frame, causing denial of service.

Affected versions

 github.com/moby/spdystream <= v0.5.0

Fix

 v0.5.1 addresses the receive-side allocation bugs and adds related
hardening:
 
Core fixes:
 

  • SETTINGS entry-count validation -- The SETTINGS frame reader now
    checks that numSettings is consistent with the declared frame
    length (numSettings <= (length-4)/8) before allocating.
     
  • Header count limit -- parseHeaderValueBlock enforces a maximum
    number of headers per frame (default: 1000).
     
  • Header field size limit -- Individual header name and value
    lengths are checked against a per-field size limit (default: 1 MiB)
    before allocation.
     
  • Connection closure on protocol error -- The connection read loop
    now closes the underlying net.Conn when it encounters an
    InvalidControlFrame error, preventing further exploitation on the
    same connection.
     
    Additional hardening:
     
  • Write-side bounds checks -- All frame write methods now verify
    that payloads fit within the 24-bit length field, preventing the
    library from producing invalid frames.
     
    Configurable limits:
     
  • Callers can adjust the defaults using NewConnectionWithOptions or
    the lower-level spdy.NewFramerWithOptions with functional options:
    WithMaxControlFramePayloadSize, WithMaxHeaderFieldSize, and
    WithMaxHeaderCount.
     

References

@thaJeztah thaJeztah published to moby/spdystream Apr 15, 2026
Published to the GitHub Advisory Database Apr 16, 2026
Reviewed Apr 16, 2026
Last updated Apr 16, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(2nd percentile)

Weaknesses

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

CVE-2026-35469

GHSA ID

GHSA-pc3f-x583-g7j2

Source code

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