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Aegra EUVDEUVD-2026-25855

| CVE-2026-30350 HIGH
Uncontrolled Resource Consumption (CWE-400)
2026-04-27 mitre
7.5
CVSS 3.1 · NVD
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Severity by source

NVD 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

Unauthenticated remote POST to a reachable search endpoint (AV:N/AC:L/PR:N/UI:N) causes resource exhaustion affecting only availability, so C:N/I:N/A:H with unchanged scope.

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

Primary rating from NVD.

CVSS VectorNVD

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

Lifecycle Timeline

4
Analysis Generated
Jul 24, 2026 - 02:10 vuln.today
CVSS changed
Apr 27, 2026 - 21:22 NVD
7.5 (HIGH)
EUVD ID Assigned
Apr 27, 2026 - 15:00 euvd
EUVD-2026-25855
CVE Published
Apr 27, 2026 - 00:00 nvd
HIGH 7.5

DescriptionCVE.org

An issue in the /store/items/search endpoint of Agent Protocol server commit e9a89f allows attackers to cause a Denial of Service (DoS) via a crafted POST request.

AnalysisAI

Denial of service in Aegra, an open-source Agent Protocol server (vulnerable at commit e9a89f), lets remote unauthenticated attackers exhaust server resources by sending a crafted POST request to the /store/items/search endpoint. The flaw is classified as uncontrolled resource consumption (CWE-400) and carries CVSS 7.5 with an availability-only impact; publicly available exploit code exists via a referenced gist, but there is no evidence of active exploitation and the EPSS probability is negligible (0.01%).

Technical ContextAI

Aegra is a self-hosted implementation of the Agent Protocol, an HTTP API surface used to drive AI agent workflows (runs, threads, and a persistence 'store' for items). The affected /store/items/search endpoint accepts POST bodies used to query stored items; the underlying weakness is CWE-400 (Uncontrolled Resource Consumption), meaning the endpoint fails to bound the work, memory, or query cost triggered by attacker-controlled input, allowing a single crafted request to consume disproportionate CPU, memory, or backing-store resources. Because search endpoints typically translate request parameters into database or in-memory filtering operations, the likely root cause is an unbounded or overly expensive query/filter path with no input size, pagination, or complexity limits. The CPE data is non-informative (cpe:2.3:a:n/a:n/a), so exact affected-product identification relies on the CVE description and the GitHub repository reference rather than NVD CPE.

RemediationAI

No vendor-released patch version is identified from the available data; the references point to the project's main branch (https://github.com/ibbybuilds/aegra/tree/main) and a gist (https://gist.github.com/syphonetic/d27b5965c884555acea1827988689f7d), not a tagged patched release, so operators should track the upstream repository, compare their deployed commit against e9a89f, and update to a post-fix commit once confirmed. As compensating controls until a fix is confirmed, restrict network access to the /store/items/search endpoint by placing Aegra behind authentication or a reverse proxy and denying anonymous access (trade-off: breaks any client that legitimately calls it unauthenticated), enforce rate limiting and request-size/timeout caps at the proxy on the search endpoint to blunt resource exhaustion (trade-off: may throttle high-volume legitimate search traffic), and avoid exposing the server directly to the internet by binding it to internal networks or a VPN (trade-off: reduces convenience of remote access).

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EUVD-2026-25855 vulnerability details – vuln.today

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