oesa-2025-2183
Vulnerability from osv_openeuler
.
Security Fix(es):
A vulnerability was found in Google Go up to 1.23.11/1.24.5 (Programming Language Software). It has been declared as problematic.The manipulation of the argument PATH with an unknown input leads to a unknown weakness.As an impact it is known to affect integrity.Upgrading to version 1.23.12 or 1.24.6 eliminates this vulnerability.(CVE-2025-47906)
Cancelling a query (e.g. by cancelling the context passed to one of the query methods) during a call to the Scan method of the returned Rows can result in unexpected results if other queries are being made in parallel. This can result in a race condition that may overwrite the expected results with those of another query, causing the call to Scan to return either unexpected results from the other query or an error.(CVE-2025-47907)
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"golang-1.15.7-53.oe2003sp4.aarch64.rpm"
],
"noarch": [
"golang-devel-1.15.7-53.oe2003sp4.noarch.rpm",
"golang-help-1.15.7-53.oe2003sp4.noarch.rpm"
],
"src": [
"golang-1.15.7-53.oe2003sp4.src.rpm"
],
"x86_64": [
"golang-1.15.7-53.oe2003sp4.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:20.03-LTS-SP4",
"name": "golang",
"purl": "pkg:rpm/openEuler/golang\u0026distro=openEuler-20.03-LTS-SP4"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.15.7-53.oe2003sp4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "High"
},
"details": ".\r\n\r\nSecurity Fix(es):\n\nA vulnerability was found in Google Go up to 1.23.11/1.24.5 (Programming Language Software). It has been declared as problematic.The manipulation of the argument PATH with an unknown input leads to a unknown weakness.As an impact it is known to affect integrity.Upgrading to version 1.23.12 or 1.24.6 eliminates this vulnerability.(CVE-2025-47906)\n\nCancelling a query (e.g. by cancelling the context passed to one of the query methods) during a call to the Scan method of the returned Rows can result in unexpected results if other queries are being made in parallel. This can result in a race condition that may overwrite the expected results with those of another query, causing the call to Scan to return either unexpected results from the other query or an error.(CVE-2025-47907)",
"id": "OESA-2025-2183",
"modified": "2026-08-06T11:09:15Z",
"published": "2025-09-05T11:09:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/zh/security/security-bulletins/detail/?id=openEuler-SA-2025-2183"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-47906"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-47907"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L",
"type": "CVSS_V3"
}
],
"summary": "golang security update",
"upstream": [
"CVE-2025-47906",
"CVE-2025-47907"
]
}
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.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.