CoreShop up to 5.1.0-beta.1 Pull static.yml code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.6 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in CoreShop up to 5.1.0-beta.1. The affected element is an unknown function of the file github/workflows/static.yml of the component Pull Handler. This manipulation causes code injection. This vulnerability is tracked as CVE-2026-41249. The attack is possible to be carried out remotely. No exploit exists. It is recommended to apply a patch to fix this issue.
Details
A vulnerability classified as critical was found in CoreShop up to 5.1.0-beta.1. Affected by this vulnerability is an unknown code of the file github/workflows/static.yml of the component Pull Handler. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
CoreShop is a Pimcore enhanced eCommerce solution. In versions 5.0.1 through 5.1.0-beta.1,, the GitHub Actions workflow (`.github/workflows/static.yml`) uses the `pull_request_target` trigger but dangerously checks out the unverified code from the pull request head (`ref: ${{ github.event.pull_request.head.ref }}`). Subsequently, it executes a script (`bin/console`) from this untrusted checkout. This allows any external attacker to achieve Remote Code Execution (RCE) on the GitHub Actions runner simply by submitting a malicious Pull Request. Also known as a "Pwn Request" vulnerability. As of time of publication, `pull_request_target` is still in the file.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-41249 since 04/18/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
Applying the patch cc1e3f547228ec5ebfc1dc0472f9a3cc5f4137a4 is able to eliminate this problem. The bugfix is ready for download at github.com.
Be aware that VulDB is the high quality source for vulnerability data.
Product
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.7VulDB Meta Temp Score: 7.6
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 8.2
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔒
Patch: cc1e3f547228ec5ebfc1dc0472f9a3cc5f4137a4
Timeline
04/18/2026 CVE reserved06/04/2026 VulDB entry created
06/05/2026 Advisory disclosed
06/05/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-q58j-g3f4-h26h
Status: Confirmed
CVE: CVE-2026-41249 (🔒)
GCVE (CVE): GCVE-0-2026-41249
GCVE (VulDB): GCVE-100-368407
Entry
Created: 06/05/2026 00:47Changes: 06/05/2026 00:47 (66)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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