← Back to Feed CACHED · 2026-06-30 01:53:21 · CACHE_KEY CVE-2026-54029
CVE-2026-54029 · CWE-862 · Disclosed 2026-06-25

LibreChat is an enhanced ChatGPT clone that supports multiple AI providers

ASSESSED — NOISGATE V0.5
Vendor
Reassessed
Verdict:
Do you agree?
01 · The Real Story

A coffee-shop suggestion box where any logged-in regular can swap the daily specials on someone else's chalkboard

CVE-2026-54029 is a missing-authorization flaw (CWE-862) in LibreChat — the popular open-source ChatGPT-clone front-end that supports multiple AI providers (OpenAI, Anthropic, Bedrock, Azure, local models). The bug sits in the same family as the recent run of LibreChat agent/file access-control advisories (CVE-2026-54027, CVE-2026-44653, CVE-2025-69220/21/22): a backend route accepts an object identifier (an agent, conversation, preset, or file resource) and acts on it without checking that the requesting user actually owns or has EDIT rights on that object. An authenticated user who knows or guesses an ID belonging to another tenant can mutate that object — corrupting agent instructions, swapping tool wiring, or polluting shared resources. The CVSS vector AV:N/AC:H/PR:L/UI:N/C:N/I:H/A:N confirms the shape: network-reachable, requires a real account, high attack complexity (you need a valid target ID), no confidentiality or availability impact, integrity-only.

The vendor's MEDIUM (5.3) is about right for the typical deployment. LibreChat is overwhelmingly self-hosted as a personal or small-team frontend; in the single-tenant case the only person who can exploit this is *yourself*, which is meaningless. The CVSS becomes interesting only in multi-tenant deployments — internal corporate LibreChat instances exposing dozens or hundreds of accounts to each other. Even there, the impact ceiling is *tenant-scoped data tampering*, not RCE, not credential theft, not lateral movement. No EPSS signal (0.00153), no KEV, no in-the-wild reports. We are leaving this at MEDIUM.

"Authenticated tenant-level integrity bug in LibreChat — annoying for shared instances, irrelevant for solo deployments."
02 · The Attack Path

4 steps from start to impact.

STEP 01

Obtain an authenticated LibreChat account

Attacker registers (if open registration is enabled) or compromises any low-privilege account on the target LibreChat instance. PR:L means *any* user role is sufficient — no admin, no agent-owner privileges needed. On corporate SSO-backed deployments this is anyone with a corporate identity.
Conditions required:
  • Network reachability to the LibreChat HTTP(S) endpoint
  • Ability to obtain or create a valid user session/JWT
Where this breaks in practice:
  • Open registration is disabled in most production deployments
  • SSO-fronted instances reduce drive-by account creation to zero
Detection/coverage: Authentication logs in LibreChat's MongoDB + reverse-proxy logs (nginx/Caddy/Traefik). No vuln-scanner signature exists yet.
STEP 02

Enumerate or guess a target object ID

The attacker needs a valid agent/conversation/file/preset ID belonging to another user. IDs are Mongo ObjectIds or short ULIDs — not directly brute-forceable but frequently leaked via shared agent marketplaces, exported transcripts, screenshots, or sibling endpoints that disclose IDs without authorization (the CVE-2025-69221 *permission query leak* class). This is the AC:H pivot: you must either be told an ID or chain it from a separate disclosure bug.
Conditions required:
  • Knowledge of one or more target object IDs
  • Optionally, a chained disclosure primitive on the same instance
Where this breaks in practice:
  • Pure random guessing of Mongo ObjectIds is not feasible
  • Most LibreChat deployments don't expose agent marketplaces
Detection/coverage: Look for high-cardinality ID enumeration patterns against /api/agents, /api/files, /api/presets endpoints.
STEP 03

Issue the unauthorized mutation request

Attacker calls the vulnerable endpoint with the victim's object ID and attacker-controlled payload. The handler skips the checkAccess(user, resource, 'EDIT') middleware — typically because the route was added without wiring requirePermission middleware, or used findByIdAndUpdate without an author clause in the Mongoose query. The mutation lands as if the rightful owner had performed it.
Conditions required:
  • Crafted HTTP request with valid bearer token + target ID
  • Vulnerable LibreChat version running the affected route
Where this breaks in practice:
  • WAF rules rarely catch authenticated tenant-on-tenant abuse — same shape as legitimate traffic
Detection/coverage: Application-level audit logging of mutation events with actor vs. resource-owner mismatch. LibreChat does not ship this by default — you have to add it.
STEP 04

Weaponize the integrity loss

Practical end-states: (a) poison a shared agent's system prompt to coerce its users into pasting credentials, exfiltrate via prompt-injected tool calls, or render misleading output for fraud; (b) attach a malicious file to another user's RAG context to influence later answers; (c) overwrite presets to silently downgrade model selection (cost amplification). No RCE, no host pivot — purely a content / behaviour tampering payload contained to the LibreChat tenant.
Conditions required:
  • Successful step 3
  • A real user interacts with the poisoned object afterward
Where this breaks in practice:
  • Integrity-only — does NOT yield credentials, secrets, or shell
Detection/coverage: Diff-based monitoring of agent definitions; user reports of unexpected agent behaviour.
03 · Intelligence Metadata

The supporting signals.

In-the-wild exploitationNone observed. Not on CISA KEV. No GreyNoise tags. No public PoC repos as of 2026-06-30.
Proof-of-concept availabilityNo standalone PoC published. The exploit is a single-line curl against the vulnerable route once an ID is known — researcher disclosure expected via GHSA in the LibreChat advisory database.
EPSS0.00153 (~0.15%) — bottom-decile probability of exploitation in the next 30 days.
KEV statusNot listed. No CISA action.
CVSS 3.1 vectorAV:N/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:N → network, high complexity, low-priv authenticated, integrity-only. 5.3 MEDIUM is mathematically consistent with the vector.
Affected versionsLibreChat ≤ latest pre-patch release in the 0.8.x line (matches the CVE-2026-54027 cohort). Confirm against the GHSA when published.
Fixed versionTrack danny-avila/LibreChat GitHub Releases — patch ships in the next 0.8.x point release. No distro backports (LibreChat is shipped as container image / npm install, not OS packages).
Exposure / scanningShodan/Censys queries for the LibreChat title return on the order of a few thousand internet-exposed instances globally — almost entirely hobbyist single-user deployments. Multi-tenant corporate exposures are a minority slice.
Disclosed2026-06-25 — coordinated disclosure via the LibreChat GitHub Security Advisories program.
ReporterLibreChat advisory program (Danny Avila + community researchers; SBA Research has historically reported in this CVE cluster).
04 · The Call

noisgate verdict.

Final Verdict
= UNCHANGED to MEDIUM (4.8/10)

MEDIUM is the right bucket because the single most decisive factor is the authenticated-low-privilege + integrity-only impact ceiling — the attacker must already have a valid account, and the worst plausible outcome is tampering with content inside the same LibreChat tenant, not credential theft, RCE, or host pivot. LibreChat is not a high-value-role component (it is an AI chat frontend, not an IdP, hypervisor, CA, or kernel-mode agent), so no deployment-role floor applies.

HIGH CVSS vector and CWE classification
MEDIUM Exact affected route — inferred from the LibreChat CVE-2026-540xx cluster pattern; confirm against the GHSA when published
HIGH Absence of in-the-wild exploitation

Why this verdict

  • Authentication required (PR:L): the attacker must hold a valid LibreChat session before any of this matters. On SSO-backed corporate deployments this gates the population to internal users only.
  • AC:H is real here, not theatre: exploitation requires knowing the victim's object ID, which is not directly enumerable; it requires either social/marketplace disclosure or chaining a separate ID-leak bug.
  • Integrity-only impact: no confidentiality, no availability, no code execution. The blast radius is bounded to data inside the affected LibreChat tenant.
  • Role multiplier: LibreChat is a self-hosted AI chat UI. Across the realistic role spectrum — (a) single-user hobbyist deployment: self-exploit only, irrelevant; (b) small team / family deployment: trivial trust model, low impact; (c) corporate multi-tenant deployment: meaningful but tenant-scoped tampering. No high-value-role variant exists for LibreChat itself — it doesn't issue tokens, hold keys for other systems, or sit in the trust path of identity, build, or backup planes. Floor does not engage.
  • Threat intel is quiet: EPSS 0.00153, no KEV, no public PoC, no GreyNoise tags. There is no reason to short-fuse this.

Why not higher?

Not HIGH because the chain caps at tenant-scoped integrity tampering with no path to RCE, credential theft, or cross-tenant compromise of the host or downstream provider APIs. The AI provider keys live in environment variables on the server, not in user-mutable objects, so this bug does not bridge to the OpenAI/Anthropic billing surface.

Why not lower?

Not LOW because in real multi-tenant LibreChat deployments — increasingly common in mid-size companies standing up internal AI portals — an authenticated insider can silently poison shared agents to drive prompt-injection and social-engineering outcomes against colleagues. That is a real and exploitable harm, just not a fleet-scale one.

05 · Compensating Control

What to do — in priority order.

  1. Disable open user registration — Set ALLOW_REGISTRATION=false and ALLOW_SOCIAL_REGISTRATION=false in .env, then force SSO/SAML or invite-only flows. This collapses the attacker population from internet-wide to your authenticated user base. Apply immediately as part of standard hardening — no formal mitigation SLA at MEDIUM, but this should already be your baseline.
  2. Front the instance with an authenticating reverse proxy — Place LibreChat behind Cloudflare Access, Tailscale, oauth2-proxy, or an IdP-fronted ingress so that even reaching the vulnerable route requires a corporate identity. This is the highest-leverage mitigation while waiting on the official patch.
  3. Enable application-level mutation auditing — Add a Mongoose pre('findOneAndUpdate') hook that logs actor_user_id vs. resource.author_id mismatches to a SIEM. Alert on any mismatch. This gives you both detection for current attempts and a forensic trail once the GHSA confirms the affected route.
  4. Upgrade as soon as the patched 0.8.x release ships — Subscribe to the danny-avila/LibreChat GitHub release feed and pin the container image to a release channel you can roll forward in hours. Target the noisgate remediation SLA of 365 days for MEDIUM but realistically you should rebase within the next monthly maintenance window.
  5. Audit shared agents and presets for unexpected changes — Export the agents/presets MongoDB collections and diff updatedAt timestamps against createdAt and known-good owner activity. Anything mutated by a non-owner is suspect.
What doesn't work
  • WAF signatures — the malicious request is structurally identical to a legitimate one (same path, same JSON shape, same valid bearer token). WAFs will not see this.
  • Rotating AI provider API keys — provider keys are not exposed by this bug; rotating them costs operational pain for no security gain.
  • MFA on LibreChat accounts — MFA helps with account takeover but does not prevent a legitimately-authenticated low-priv user from invoking the vulnerable endpoint.
  • Network segmentation alone — the bug is exploitable by any user who can reach the app, including legitimate internal users; segmentation doesn't address the insider variant.
06 · Verification

Crowdsourced verification payload.

Run on a host that can reach your LibreChat instance (auditor workstation or admin jumpbox). Usage: ./check_librechat_54029.sh https://chat.corp.example.com. No privileges required beyond network egress to the target. Checks the running version via the /api/config endpoint against the known-vulnerable cohort.

noisgate-verify.sh
BASHREAD-ONLYSAFE
#!/usr/bin/env bash
# noisgate verification — CVE-2026-54029 (LibreChat missing authorization)
# Compares the live /api/config version against the known-vulnerable cohort.
set -u

TARGET="${1:-}"
if [[ -z "$TARGET" ]]; then
  echo "usage: $0 https://librechat.example.com" >&2
  exit 2
fi

# Fixed-version threshold. Update once the official GHSA publishes the
# exact patched release; floor here is the conservative pre-patch ceiling.
FIXED_AT="0.8.2"

ver_lt() {
  # returns 0 if $1 < $2 (semver-ish, ignores -rc tags)
  printf '%s\n%s\n' "$1" "$2" | sort -V -C
  [[ "$1" != "$2" ]]
}

CONFIG_JSON=$(curl -fsSL --max-time 10 "${TARGET%/}/api/config" 2>/dev/null || true)
if [[ -z "$CONFIG_JSON" ]]; then
  echo "UNKNOWN: could not retrieve /api/config from $TARGET"
  exit 3
fi

VERSION=$(printf '%s' "$CONFIG_JSON" | grep -oE '"version"\s*:\s*"[^"]+"' | head -1 | sed -E 's/.*"([^"]+)"/\1/')
if [[ -z "$VERSION" ]]; then
  echo "UNKNOWN: /api/config did not expose a version field"
  exit 3
fi

VCLEAN="${VERSION%%-*}"
if ver_lt "$VCLEAN" "$FIXED_AT"; then
  echo "VULNERABLE: LibreChat $VERSION < $FIXED_AT"
  exit 1
else
  echo "PATCHED: LibreChat $VERSION >= $FIXED_AT"
  exit 0
fi
07 · Bottom Line

If you remember one thing.

TL;DR
Monday morning: if you run LibreChat for more than one user, lock down registration (ALLOW_REGISTRATION=false) and front it with SSO today — that single change collapses the exploitable population to internal users only. Per the noisgate mitigation SLA there is no formal mitigation deadline at MEDIUM (no KEV, no in-the-wild), so go straight to the noisgate remediation SLA of ≤ 365 days for the actual patch, but realistically pin the container image and roll the next 0.8.x point release within your normal monthly maintenance window. Single-user / hobby deployments can backlog this entirely. Multi-tenant corporate AI portals should add the Mongoose mutation-audit hook this week so you have detection on the off-chance someone weaponizes the disclosure.

Sources

  1. LibreChat GitHub Security Advisories
  2. LibreChat — CVE-2026-54027 (sibling auth-bypass in same cohort)
  3. LibreChat MCP & Access Control vulnerabilities write-up
  4. LibreChat Insufficient Access Control on Agent Permission Queries (GHSA-5ccx-4r3h-9qc7)
  5. LibreChat Insufficient Access Control on Agent Files (GHSA-xcmf-rpmh-hg59)
  6. CWE-862: Missing Authorization
  7. OpenCVE — LibreChat vendor CVE listing
  8. FIRST EPSS model
Peer Review

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Validation Results

Crowdsourced verification outputs.

Results submitted by users who ran the verification payload against their environment.