criticalZero-Day

Alluxio S3 REST Proxy Authentication Bypass via SigV4 Spoofing

First seen Aug 27, 2026 · Updated Aug 27, 2026 · CVSS 9.8

authentication-bypassidentity-spoofingdata-exposurecloud-storagealluxioagent-relevantrag-pipelinedata-lake

A critical authentication bypass exists in Alluxio's S3 REST proxy, where default configurations fail to validate AWS Signature Version 4 signatures. This allows unauthenticated attackers to extract usernames from unsigned Authorization headers and impersonate any user or service account, enabling unauthorized read, write, and delete access to arbitrary stored data.

Technical Analysis

CVE-2026-79787 (CVSS 9.8) stems from Alluxio's S3-compatible REST proxy accepting SigV4-formatted Authorization headers without cryptographically verifying the signature, only parsing the embedded username/access key identifier. An attacker can craft a request with an arbitrary username in the Authorization header field and be granted that user's full permissions without possessing valid credentials, effectively bypassing authentication entirely. This enables impersonation of privileged service accounts, leading to unauthorized data exfiltration, tampering, or deletion across the underlying storage layer (HDFS, S3, GCS, etc. mounted via Alluxio). Because Alluxio is widely deployed as a caching and virtualization layer in front of data lakes and distributed storage for big data and ML pipelines, exploitation requires no prior authentication and can be automated at scale. For organizations running AI agents or RAG pipelines that use Alluxio to accelerate access to training data, embeddings, or document corpora, this vulnerability could allow attackers to poison retrieval datasets, exfiltrate proprietary model training data, or delete critical data stores that agents depend on for grounding responses.

Affected Systems

Alluxio deployments with the S3 REST proxy enabled using default (unauthenticated/unverified) SigV4 configuration; affects all Alluxio versions where signature verification is not explicitly enforced. Any downstream storage system exposed through Alluxio's S3 API gateway (S3, HDFS, GCS, Azure Blob) is at risk of unauthorized access.

Indicators of Compromise

  • No public IOCs available at this time - vulnerability is configuration-based rather than malware-based
  • Monitor for anomalous S3 REST proxy requests with mismatched or missing signature validation
  • Unusual Authorization header patterns lacking valid SigV4 cryptographic signatures
  • Unexpected access patterns from unrecognized source IPs targeting Alluxio proxy endpoints (default port 39999/29999)

Remediation Steps

  1. 1

    Enable strict SigV4 signature verification

    Update Alluxio configuration to enforce full cryptographic validation of AWS Signature Version 4 signatures on all S3 REST proxy requests, rejecting any request with an invalid or unverifiable signature.

  2. 2

    Apply vendor patch

    Upgrade to the patched Alluxio release that addresses CVE-2026-79787 once available from the vendor; monitor Alluxio security advisories for the fix version.

  3. 3

    Restrict network exposure

    Limit access to the Alluxio S3 REST proxy to trusted internal networks via firewall rules or VPC security groups; avoid exposing the proxy endpoint to the public internet.

  4. 4

    Audit access logs

    Review Alluxio proxy access logs for anomalous requests, unexpected username impersonation, or data access patterns indicating prior exploitation.

  5. 5

    Rotate credentials and review permissions

    Rotate service account credentials that interact with Alluxio and apply least-privilege access controls to minimize blast radius if impersonation occurs.

  6. 6

    Audit AI/ML data pipeline dependencies

    Identify any AI agent, RAG, or ML training pipelines relying on Alluxio-mediated data access and verify data integrity and access logs for signs of tampering or unauthorized retrieval.

CVE / Advisory IDs

CVE-2026-79787

Industries Most Exposed

technologycloud servicesfinancial servicesbig data analyticse-commercehealthcareartificial intelligence/machine learning

Sources

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