CVE-2026-19634 (GCVE-0-2026-19634)
Vulnerability from cvelistv5 – Published: 2026-09-06 15:25 – Updated: 2026-09-06 15:25
VLAI
EPSS
VEX
Title
PostgreSQL Anonymizer: SQL injection in import_database_rules() and import_roles_rules() via crafted object names / JSON
Summary
PostgreSQL Anonymizer contains a SQL injection vulnerability in two import functions. A user can create a malicious JSON document containing specially crafted object names. If a superuser subsequently calls anon.import_database_rules() or anon.import_roles_rules(), the malicious code is executed with superuser privileges. The issue is fixed in PostgreSQL Anonymizer 3.1.4 and later
Severity
6.4 (Medium)
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| DALIBO | PostgreSQL Anonymizer |
Affected:
1 , < 3.1.4
(semver)
|
guessed |
{
"containers": {
"cna": {
"affected": [
{
"defaultStatus": "unaffected",
"product": "PostgreSQL Anonymizer",
"vendor": "DALIBO",
"versions": [
{
"lessThan": "3.1.4",
"status": "affected",
"version": "1",
"versionType": "semver"
}
]
}
],
"credits": [
{
"lang": "en",
"value": "The PostgreSQL Anonymizer project thanks user Sarath Kumar for reporting this problem."
}
],
"descriptions": [
{
"lang": "en",
"value": "PostgreSQL Anonymizer contains a SQL injection vulnerability in two import functions. A user can create a malicious JSON document containing specially crafted object names. If a superuser subsequently calls anon.import_database_rules() or anon.import_roles_rules(), the malicious code is executed with superuser privileges. The issue is fixed in PostgreSQL Anonymizer 3.1.4 and later"
}
],
"metrics": [
{
"cvssV3_1": {
"baseScore": 6.4,
"baseSeverity": "MEDIUM",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"format": "CVSS"
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-89",
"description": "Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-09-06T15:25:36.947Z",
"orgId": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
"shortName": "PostgreSQL"
},
"references": [
{
"url": "https://gitlab.com/dalibo/postgresql_anonymizer/-/issues/665"
}
],
"title": "PostgreSQL Anonymizer: SQL injection in import_database_rules() and import_roles_rules() via crafted object names / JSON",
"workarounds": [
{
"lang": "en",
"value": "Remove the rules import functions named `anon.import_roles_rules()` and `anon.import_database_rules()`. They are user-facing functions with no internal dependencies."
}
]
}
},
"cveMetadata": {
"assignerOrgId": "f86ef6dc-4d3a-42ad-8f28-e6d5547a5007",
"assignerShortName": "PostgreSQL",
"cveId": "CVE-2026-19634",
"datePublished": "2026-09-06T15:25:36.947Z",
"dateReserved": "2026-08-12T16:09:10.091Z",
"dateUpdated": "2026-09-06T15:25:36.947Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"nvd": "{\"cve\":{\"id\":\"CVE-2026-19634\",\"sourceIdentifier\":\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\",\"published\":\"2026-09-06T16:16:50.603\",\"lastModified\":\"2026-09-06T16:16:50.603\",\"vulnStatus\":\"Received\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"PostgreSQL Anonymizer contains a SQL injection vulnerability in two import functions. A user can create a malicious JSON document containing specially crafted object names. If a superuser subsequently calls anon.import_database_rules() or anon.import_roles_rules(), the malicious code is executed with superuser privileges. The issue is fixed in PostgreSQL Anonymizer 3.1.4 and later\"}],\"affected\":[{\"source\":\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\",\"affectedData\":[{\"vendor\":\"DALIBO\",\"product\":\"PostgreSQL Anonymizer\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"1\",\"lessThan\":\"3.1.4\",\"versionType\":\"semver\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H\",\"baseScore\":6.4,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"HIGH\",\"privilegesRequired\":\"HIGH\",\"userInteraction\":\"REQUIRED\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"HIGH\",\"integrityImpact\":\"HIGH\",\"availabilityImpact\":\"HIGH\"},\"exploitabilityScore\":0.5,\"impactScore\":5.9}]},\"weaknesses\":[{\"source\":\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\",\"type\":\"Secondary\",\"description\":[{\"lang\":\"en\",\"value\":\"CWE-89\"}]}],\"references\":[{\"url\":\"https://gitlab.com/dalibo/postgresql_anonymizer/-/issues/665\",\"source\":\"f86ef6dc-4d3a-42ad-8f28-e6d5547a5007\"}]}}"
}
}
Loading…
Loading…
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.
Loading…
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.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Loading…
Loading…