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CKAN MCP Server: Cache-key canonicalization collision enables cache confusion / poisoning

Moderate severity GitHub Reviewed Published Jul 9, 2026 in ondata/ckan-mcp-server • Updated Sep 3, 2026

Package

npm @aborruso/ckan-mcp-server (npm)

Affected versions

< 0.4.112

Patched versions

0.4.112

Description

Summary

The response cache derives its key from an ambiguous string serialization of the request parameters. canonicalizeParams joins sorted ${key}=${value} pairs with & and does not escape &, =, or the | field separators used in buildCacheKey. Two different logical parameter sets can therefore serialize to the same key and share one cache entry. Because the cached value is whatever the upstream returned for whichever request populated the entry first, an attacker can prime a colliding key so a victim's distinct query (same server_url) is served the attacker's cached response.

Affected code

// src/utils/cache.ts
export function canonicalizeParams(params) {
  const keys = Object.keys(params).sort();
  const pairs = [];
  for (const key of keys) {
    const value = params[key];
    if (value === undefined || value === null) continue;
    const serialized = typeof value === "object" ? JSON.stringify(value) : String(value);
    pairs.push(`${key}=${serialized}`);        // value not escaped
  }
  return pairs.join("&");                        // '&' delimiter, injectable
}

export async function buildCacheKey(serverUrl, action, params) {
  const raw = `${serverUrl}|${action}|${canonicalizeParams(params)}`;  // '|' also unescaped
  return sha1Hex(raw);
}

Confirmed collisions (identical key):

  • { q: "budget", rows: 10 }{ q: "budget&rows=10" } → both canonicalize to q=budget&rows=10
  • { filters: { a: "b" } }{ filters: '{"a":"b"}' } → both canonicalize to filters={"a":"b"} (object-vs-string ambiguity)

An attacker can reproduce any target canonical string by injecting it into the alphabetically-first parameter, so the collision is general, not incidental.

Impact

  • Cache poisoning / confusion. On a shared cache (caching is enabled by
    default; the Cloudflare Workers deployment uses the shared caches.default, and
    a Node HTTP instance shares one in-process LRU across all clients), an attacker
    primes a colliding entry so that another client's genuinely different query
    receives the attacker-chosen response for the same portal.
  • Integrity of results. Victims receive data for a query they did not make
    (wrong dataset list, wrong record set), undermining trust in tool output.
  • Chains with indirect prompt injection (advisory #07). The attacker's
    colliding request can be one whose upstream response surfaces an
    attacker-controlled dataset (with malicious notes/title); the victim's
    benign query then serves that poisoned content to the model — delivering prompt
    injection via the cache, without the victim ever querying the malicious dataset.

Confidentiality impact is low (same-portal public data); the primary damage is
integrity. AC:H reflects the need for caching to be enabled and a shared
instance plus priming before the victim's request populates the entry.

Proof of concept

poc/cache-collision-poc.mjs primes a single-param request and shows a victim's
distinct two-param request being served the attacker-primed entry:

attacker canonical : q=budget&rows=10
victim   canonical : q=budget&rows=10
same cache key      : true
victim served from cache: true
victim RECEIVED    : RESULT_FOR({"q":"budget&rows=10"})
victim EXPECTED    : RESULT_FOR({"q":"budget","rows":10})

Remediation

  • Build the cache key from an unambiguous, injection-proof encoding: hash a
    structured, canonical JSON (with typed values) or percent-encode/escape each key
    and value before joining, and use a separator that cannot appear in the encoded
    fields. Include a type tag so {a:{...}} (object) and {a:"..."} (string)
    never coincide.
  • Consider partitioning the cache per client/tenant on shared deployments so one
    client cannot influence another's entries.

References

@aborruso aborruso published to ondata/ckan-mcp-server Jul 9, 2026
Published by the National Vulnerability Database Aug 14, 2026
Published to the GitHub Advisory Database Sep 3, 2026
Reviewed Sep 3, 2026
Last updated Sep 3, 2026

Severity

Moderate

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 v3 base metrics

Attack vector
Network
Attack complexity
High
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
High
Availability
None

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:H/A: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.
(3rd percentile)

Weaknesses

Insufficient Verification of Data Authenticity

The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data. Learn more on MITRE.

Interpretation Conflict

Product A handles inputs or steps differently than Product B, which causes A to perform incorrect actions based on its perception of B's state. Learn more on MITRE.

CVE ID

CVE-2026-73846

GHSA ID

GHSA-78x9-fhhx-v2g6

Credits

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