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python-engineio CVE-2026-48809

| EUVDEUVD-2026-56854 HIGH
Allocation of Resources Without Limits or Throttling (CWE-770)
2026-06-26 https://github.com/miguelgrinberg/python-engineio GHSA-m9gh-vj53-gvh9 PYSEC-2026-3033
7.5
CVSS 3.1 · Vendor: https://github.com/miguelgrinberg/python-engineio
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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain

  1. Access
    Identify python-engineio endpoint (ASGI long-poll or Aiohttp WS)
  2. Delivery
    Send oversized POST body or WebSocket message
  3. Exploit
    Server buffers payload before size check
  4. Execution
    Repeat to exhaust server memory
  5. Impact
    Process OOM, denial of service

Vulnerability Assessment

Weakness
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V2 - Validation and Business Logic Resource allocation limits
MITRE ATT&CK

1 technique across 1 tactic: Impact

The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up.

Exploitation Conditions

Exploitation requires the python-engineio server to be running one of two specific configurations: (1) ASGI deployment using the long-polling transport, exploited via oversized POST requests, or (2) Aiohttp deployment using the WebSocket transport, exploited via oversized WebSocket messages. Deployments using other server backends or transports are not affected, which is the primary limiting factor. The CVSS vector indicates AV:N/AC:L/PR:N/UI:N (network-reachable, low complexity, no privileges, no user interaction); note the ASGI patch description implies pre-auth buffering, supporting unauthenticated triggering for that path, while authentication requirements for the Aiohttp path are not separately confirmed from the available data. Impact is limited to availability (memory exhaustion / denial of service) with no confidentiality or integrity effect.

Impact

The provided CVSS 3.1 vector (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, base 7.5) reflects a network-reachable, low-complexity, unauthenticated availability-only impact - consistent with a resource-exhaustion DoS rather than data compromise (C:N/I:N). No EPSS score, KEV listing, POC, or SSVC decision data was supplied, so exploitation likelihood cannot be quantified from the inputs; the absence of public exploit code and KEV status suggests this is not currently under active or widespread exploitation. Note a partial tension worth verifying: the CVSS marks PR:N (unauthenticated), but the ASGI fix specifically references loading the body only after the client is 'known and authenticated,' implying that in the ASGI case the pre-check buffering happens before auth - so unauthenticated triggering is plausible for at least the ASGI path. Real-world priority is moderate: a genuine remote DoS in a widely-used real-time library, but impact is limited to availability and is contingent on running one of two specific transport configurations.

Exploit ScenarioDerived

An attacker identifies a service built on python-engineio running an affected transport (ASGI long-polling or Aiohttp WebSocket) and repeatedly sends very large POST bodies or WebSocket messages. Each oversized message is buffered into memory before the size limit is applied, and a sustained flood drives memory consumption up until the process is exhausted or OOM-killed, denying service to legitimate users. No public exploit code is identified, but the attack requires only crafted oversized requests and low complexity.

This Week Schedule remediation this week. Why: HIGH severity (CVSS 7.0-8.9).
Patch available 0.3% exploitation probability (EPSS)

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AnalysisAIv1 – Jun 26, 2026

Uncontrolled memory allocation in python-engineio (versions <= 4.13.1) lets remote attackers exhaust server memory by sending oversized messages that are loaded before any size check, causing denial of service (availability-only impact). The flaw triggers in two specific transport configurations - ASGI with long-polling POST requests, and Aiohttp with the WebSocket transport - and is fixed in 4.13.2. No public exploit identified at time of analysis, and the issue is not in CISA KEV; no EPSS score was provided.

RemediationAI

Upgrade to python-engineio 4.13.2 or later, which is the vendor-released patch (pip install --upgrade 'python-engineio>=4.13.2'); the fix makes ASGI servers defer loading request bodies until the client is known, authenticated, and the payload is under the maximum allowed size, and makes Aiohttp servers enforce the max payload size in Aiohttp's WebSocket layer so oversized frames are discarded before reaching engineio. If immediate upgrade is not possible, place the service behind a reverse proxy or WAF that enforces a strict request/body size limit on the Engine.IO POST endpoint and caps WebSocket frame sizes (trade-off: must be tuned so legitimate large payloads are not dropped, and proxy-level WebSocket size enforcement is not universally supported), and restrict network access to the endpoint to trusted clients where feasible. Refer to advisory GHSA-m9gh-vj53-gvh9 (https://github.com/miguelgrinberg/python-engineio/security/advisories/GHSA-m9gh-vj53-gvh9) for authoritative guidance.

Affected VersionsENISA

python-engineio < 4.13.2

Affected Packages

pypi python-engineio fix: 4.13.2

Source: OSV (Open Source Vulnerabilities)

Affects your stack

Affects 1 package in pypi

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

python-engineio is the Python implementation of the Engine.IO transport layer that underpins python-socketio, providing real-time bidirectional communication over long polling and WebSocket transports. The root cause is CWE-770 (Allocation of Resources Without Limits or Throttling): in two server backends the incoming message body is read into memory before the configured maximum payload size is enforced. Specifically, ASGI servers buffered long-polling POST request bodies prior to authenticating the client or validating size, and Aiohttp-based WebSocket servers did not propagate a max-payload limit into Aiohttp's underlying WebSocket layer, so large frames reached the engineio layer unrestricted. The affected package is identified by CPE pkg:pip/python-engineio.

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Severity by source

Vendor (https://github.com/miguelgrinberg/python-engineio) PRIMARY 7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vuln.today AI 7.5 HIGH

Network-reachable oversized messages with no privileges or interaction cause memory-exhaustion DoS (A:H), with no confidentiality or integrity impact; AC:L as flooding is straightforward.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
SUSE HIGH

Primary rating from Vendor (https://github.com/miguelgrinberg/python-engineio).

CVSS VectorVendor: https://github.com/miguelgrinberg/python-engineio

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

DescriptionCVE.org

Impact

There are two specific configurations of the python-engineio server in which the size of incoming messages is not checked before the messages are loaded into memory. An attacker can take advantage of these to cause unnecessary memory allocations in the python-engineio server. The two cases are:

  • POST requests, when using ASGI with the long polling transport
  • WebSocket messages, when using Aiohttp with the WebSocket transport

Patches

Version 4.13.2 addresses this issue as follows:

  • ASGI severs now only load the body of incoming requests into memory after the client is confirmed to be known and authenticated, and the payload size is below the maximum allowed size. Requests that do not comply with these requirements are discarded.
  • Aiohttp servers configure the maximum payload size in the underlying WebSocket layer from Aiohttp, so that large messages are discarded by Aiohttp before they are delivered to python-engineio.

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 10 pypi packages depend on python-engineio (1 direct, 9 indirect)

Ecosystem-wide dependent count for version 4.13.2.

Executive ViewAI

Why It Matters

python-engineio versions ≤4.13.1 contain a denial-of-service vulnerability (no public exploit identified at time of analysis) allowing remote attackers to crash applications using ASGI long-polling or Aiohttp WebSocket transports. Service disruption risk is immediate for affected deployments. Upgrade to version 4.13.2 is required to restore availability.

Business Impact: High
Compensating Controls

Apply vendor patch.

Threat Intelligence Overview

EPSS Score
0.3%
Top 80% exploitable
Prevalence
Medium
popular Python real-time library underlying python-socketio, but only specific transports affected
Threat Intel
1
1 source
Data Quality
6 sources
Confidence: High
EUVD NVD CVE.org EPSS GHSA Vendor GitHub VulDB

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue
Severity HIGH
CISA KEV No
Public POC No
EPSS 0.3%
Patch available Yes
Active threat No
Deciding rule
HIGH severity (CVSS 7.0-8.9)
What every action level means
Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.
Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.
This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.
This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.
Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived
Scheduled
Exploitation· derived
None
System Exposure· derived
Open
Automatable· derived
Yes
Human Impact
High

Priority Score

38
Low Medium High Critical
KEV: 0
EPSS: 0
CVSS: +38
PoC: 0
Weaponized: 0
Threat intel: 0
Gov advisory: 0

Attack Technique

Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.

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Vendor StatusVendor

SUSE

Severity: Important
Product Status
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SUSE Linux Enterprise Server 15 SP6-LTSS Fixed
SUSE Linux Enterprise Server for SAP Applications 15 SP6 Fixed
openSUSE Leap 16.0 Fixed
openSUSE Tumbleweed Fixed

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