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CVE-2026-77846 ash-project CVE debrief

The CVE-2026-77846 vulnerability, classified as Improper Neutralization of Special Elements in Data Query Logic, affects ash_sqlite versions from 0.1.2-rc.0 before 0.2.18. An attacker controlling a get_path/2 segment can traverse into nested JSON, disclosing private or sensitive embedded fields. AshSqlite.SqlImplementation constructs the SQLite json_extract path using $. <> Enum.join(right, .), allowing a single segment with ., [, ], or $ to reinterpret the JSON path. This issue is confined to the JSON-path grammar, not SQL, due to the path being bound as a parameter. The vulnerability impacts users of affected ash_sqlite versions, who should review and update their configurations. Limited information is available; verify affected versions and configurations.

Vendor
ash-project
Product
ash_sqlite
CVSS
LOW 2.1
CISA KEV
Not listed in stored evidence
Original CVE published
2026-08-30
Original CVE updated
2026-08-30
Advisory published
2026-08-30
Advisory updated
2026-08-30

Who should care

Users of ash_sqlite versions from 0.1.2-rc.0 before 0.2.18 should review and update their configurations to address the vulnerability. This includes operators, platform administrators, vulnerability management teams, and security teams who need to assess the impact on their systems and implement necessary mitigations. Reviewing the official advisory or CVE record is essential to validate affected scope, severity, and vendor guidance. Compensating controls should be considered for exposed systems while remediation is scheduled and verified. Monitoring, detection, and logs for exposed assets require extra review to ensure no unauthorized access or data disclosure occurs. Tracking exceptions and retesting remediated assets are crucial before closing the item, with evidence documented for closure. Asset inventory management is also vital to identify and prioritize remediation efforts based on business criticality and potential impact. Change management processes should be leveraged for vendor-supported updates or mitigations, ensuring proper testing and validation before implementation. Source tracking can help in verifying the effectiveness of implemented controls and in maintaining an up-to-date overview of the vulnerability status across the environment. Rollback and change window management strategies can minimize disruptions during remediation. Implementing these measures helps in maintaining the security posture and minimizing potential risks associated with CVE-2026-77846. Review and validate user input to get_path/2 segments to prevent unauthorized data access. Implement compensating controls to monitor and restrict access to sensitive data. Ensure that security teams are aware of the vulnerability and its implications, and that they have a plan in place for affected systems. This may involve coordinating with vendors for patches, applying workarounds, or enhancing monitoring and detection capabilities. Effective communication and coordination among teams are essential for a timely and efficient response to this vulnerability. By taking these steps, organizations can better protect their systems and data from potential exploitation. It is also recommended to

Technical summary

The CVE-2026-77846 vulnerability in ash_sqlite allows an attacker who controls a get_path/2 segment to traverse into nested JSON and disclose private or sensitive embedded fields. AshSqlite.SqlImplementation builds the SQLite json_extract path with $. <> Enum.join(right, .), so a single segment containing ., [, ], or $ re-interprets the JSON path. This issue affects ash_sqlite versions from 0.1.2-rc.0 before 0.2.18.

Defensive priority

Review and update ash_sqlite to version 0.2.18 or later to address Improper Neutralization of Special Elements in Data Query Logic vulnerability.

Recommended defensive actions

  • Update ash_sqlite to version 0.2.18 or later
  • Review and validate user input to get_path/2 segments
  • Implement compensating controls to monitor and restrict access to sensitive data
  • Review affected ash_sqlite deployments in managed environments and assign an owner for follow-up
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE-2026-77846 Improper Neutralization of Special Elements in Data Query Logic vulnerability in ash_sqlite allows an attacker to traverse into nested JSON and disclose private or sensitive embedded fields. The issue affects ash_sqlite versions from 0.1.2-rc.0 before 0.2.18. Limited information available; verify affected versions and configurations.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-77846 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-77846

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-77846 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-77846

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

  • Source reference

    Unverified legacy reference

    URL: https://cna.erlef.org/cves/CVE-2026-77846.html

    6b3ad84c-e1a6-4bf7-a703-f496b71e49db

  • Source reference

    Unverified legacy reference

    URL: https://github.com/ash-project/ash_sqlite/commit/2138480fceb654bec1845e691517ac409d0232c3

    6b3ad84c-e1a6-4bf7-a703-f496b71e49db

  • Source reference

    Unverified legacy reference

    URL: https://github.com/ash-project/ash_sqlite/security/advisories/GHSA-hrp2-5hgw-c83c

    6b3ad84c-e1a6-4bf7-a703-f496b71e49db

  • Source reference

    Unverified legacy reference

    URL: https://osv.dev/vulnerability/EEF-CVE-2026-77846

    6b3ad84c-e1a6-4bf7-a703-f496b71e49db

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.