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Vulnerability from cleanstart
Published
2026-07-30 07:10
Modified
2026-07-30 09:32
Summary
Security fixes in postgresql 17.6-r0
Details
Package postgresql version 17.6-r0 fixes 3 vulnerabilities: CVE-2025-8713, CVE-2025-8714, CVE-2025-8715
References
| URL | Type | |
|---|---|---|
{
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{
"package": {
"ecosystem": "Alpine",
"name": "postgresql"
},
"ranges": [
{
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},
{
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}
],
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}
],
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}
],
"credits": [],
"database_specific": {},
"details": "Package postgresql version 17.6-r0 fixes 3 vulnerabilities: CVE-2025-8713, CVE-2025-8714, CVE-2025-8715",
"id": "CLEANSTART-2026-HM56624",
"modified": "2026-07-30T09:32:10Z",
"published": "2026-07-30T07:10:53Z",
"references": [
{
"type": "WEB",
"url": "https://www.postgresql.org/"
}
],
"related": [],
"schema_version": "1.7.3",
"summary": "Security fixes in postgresql 17.6-r0",
"upstream": [
"CVE-2025-8713",
"CVE-2025-8714",
"CVE-2025-8715"
]
}
CVE-2025-8713 (GCVE-0-2025-8713)
Vulnerability from cvelistv5 – Published: 2025-08-14 13:00 – Updated: 2025-08-14 19:51
VLAI
EPSS
VEX
Title
PostgreSQL optimizer statistics can expose sampled data within a view, partition, or child table
Summary
PostgreSQL optimizer statistics allow a user to read sampled data within a view that the user cannot access. Separately, statistics allow a user to read sampled data that a row security policy intended to hide. PostgreSQL maintains statistics for tables by sampling data available in columns; this data is consulted during the query planning process. Prior to this release, a user could craft a leaky operator that bypassed view access control lists (ACLs) and bypassed row security policies in partitioning or table inheritance hierarchies. Reachable statistics data notably included histograms and most-common-values lists. CVE-2017-7484 and CVE-2019-10130 intended to close this class of vulnerability, but this gap remained. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-1230 - Exposure of Sensitive Information Through Metadata
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | PostgreSQL |
Affected:
17 , < 17.6
(rpm)
Affected: 16 , < 16.10 (rpm) Affected: 15 , < 15.14 (rpm) Affected: 14 , < 14.19 (rpm) Affected: 0 , < 13.22 (rpm) |
Credits
The PostgreSQL project thanks Dean Rasheed for reporting this problem.
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CVE-2025-8714 (GCVE-0-2025-8714)
Vulnerability from cvelistv5 – Published: 2025-08-14 13:00 – Updated: 2026-02-26 17:48
VLAI
EPSS
VEX
Title
PostgreSQL pg_dump lets superuser of origin server execute arbitrary code in psql client
Summary
Untrusted data inclusion in pg_dump in PostgreSQL allows a malicious superuser of the origin server to inject arbitrary code for restore-time execution as the client operating system account running psql to restore the dump, via psql meta-commands. pg_dumpall is also affected. pg_restore is affected when used to generate a plain-format dump. This is similar to MySQL CVE-2024-21096. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-829 - Inclusion of Functionality from Untrusted Control Sphere
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | PostgreSQL |
Affected:
17 , < 17.6
(rpm)
Affected: 16 , < 16.10 (rpm) Affected: 15 , < 15.14 (rpm) Affected: 14 , < 14.19 (rpm) Affected: 0 , < 13.22 (rpm) |
Credits
The PostgreSQL project thanks Martin Rakhmanov, Matthieu Denais, and RyotaK for reporting this problem.
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CVE-2025-8715 (GCVE-0-2025-8715)
Vulnerability from cvelistv5 – Published: 2025-08-14 13:00 – Updated: 2026-02-26 17:48
VLAI
EPSS
VEX
Title
PostgreSQL pg_dump newline in object name executes arbitrary code in psql client and in restore target server
Summary
Improper neutralization of newlines in pg_dump in PostgreSQL allows a user of the origin server to inject arbitrary code for restore-time execution as the client operating system account running psql to restore the dump, via psql meta-commands inside a purpose-crafted object name. The same attacks can achieve SQL injection as a superuser of the restore target server. pg_dumpall, pg_restore, and pg_upgrade are also affected. Versions before PostgreSQL 17.6, 16.10, 15.14, 14.19, and 13.22 are affected. Versions before 11.20 are unaffected. CVE-2012-0868 had fixed this class of problem, but version 11.20 reintroduced it.
Severity
8.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-93 - Improper Neutralization of CRLF Sequences ('CRLF Injection')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | PostgreSQL |
Affected:
17 , < 17.6
(rpm)
Affected: 16 , < 16.10 (rpm) Affected: 15 , < 15.14 (rpm) Affected: 14 , < 14.19 (rpm) Affected: 11.20 , < 13.22 (rpm) |
Credits
The PostgreSQL project thanks Noah Misch for reporting this problem.
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Loading…
Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
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