CVE-2026-65314 in Electric Postgres Syncinfo

Summary

by MITRE • 07/22/2026

Electric Postgres Sync versions below 1.6.10 contains an information disclosure vulnerability that allows attackers to infer the values of excluded columns by crafting subset where clause conditions against shape responses. Attackers can observe whether subset where conditions match rows to deduce sensitive field data even though those columns are not returned in shape responses, bypassing column-based access restrictions.

If you want to get best quality of vulnerability data, you may have to visit VulDB.

Analysis

by VulDB Data Team • 07/22/2026

This vulnerability exists within Electric Postgres Sync versions prior to 1.6.10 and represents a sophisticated information disclosure flaw that undermines the security of database access controls. The vulnerability stems from improper handling of subset where clause conditions during shape response processing, allowing attackers to perform indirect data inference through careful manipulation of query parameters. When database queries are executed with specific where clause conditions that target excluded columns, the system's response behavior reveals whether matches occur, creating a side-channel information leak that can be exploited to reconstruct sensitive field values.

The technical implementation of this vulnerability leverages the difference in response behavior between matching and non-matching subset where clauses. Even though column-based access restrictions are properly enforced to exclude certain fields from shape responses, attackers can craft queries that test specific conditions against excluded columns while observing the system's response patterns. This approach exploits the fundamental principle that database systems return different response characteristics when queries match versus do not match records, creating a timing or behavioral side-channel that reveals information about excluded data.

From an operational impact perspective, this vulnerability allows adversaries to bypass column-level access controls and extract sensitive information from databases without direct access to restricted fields. The attack requires careful crafting of subset where conditions but can be executed by attackers with basic database query knowledge. The implications extend beyond simple data exposure as this technique can be used to reconstruct entire datasets or identify sensitive patterns in excluded columns, potentially compromising user privacy, business intelligence, or regulatory compliance requirements.

The vulnerability aligns with CWE-200 (Information Exposure) and represents a form of side-channel attack that exploits implementation flaws rather than direct access violations. It also maps to ATT&CK technique T1213.002 (Data from Information Repositories) and T1567.002 (Exfiltration Over Web Service) as attackers can systematically infer data through web-based database interactions. This type of vulnerability is particularly concerning in environments where strict column-level access controls are implemented but not fully enforced at the query processing level, creating a false sense of security.

Mitigation strategies should focus on implementing proper input validation and response normalization to prevent differential response patterns that reveal information about excluded columns. The most effective solution involves upgrading to Electric Postgres Sync version 1.6.10 or later, which includes enhanced query processing logic that prevents the leakage of information through subset where clause conditions. Organizations should also implement additional layers of security including query auditing, rate limiting for suspicious patterns, and comprehensive monitoring of database access behaviors to detect potential exploitation attempts.

Responsible

VulnCheck

Reservation

07/21/2026

Disclosure

07/22/2026

Moderation

accepted

CPE

ready

EPSS

0.00000

KEV

no

Activities

very low

Sources

Do you want to use VulDB in your project?

Use the official API to access entries easily!