CVE-2024-47179
Published: 26 September 2024
Summary
CVE-2024-47179 is a high-severity Improper Input Validation (CWE-20) vulnerability in Github (inferred from references). Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 42.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-42300
Vulnerability details
RSSHub is an RSS network. Prior to commit 64e00e7, RSSHub's `docker-test-cont.yml` workflow is vulnerable to Artifact Poisoning, which could have lead to a full repository takeover. Downstream users of RSSHub are not vulnerable to this issue, and commit 64e00e7 fixed…
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the underlying issue and made the repository no longer vulnerable. The `docker-test-cont.yml` workflow gets triggered when the `PR - Docker build test` workflow completes successfully. It then collects some information about the Pull Request that triggered the triggering workflow and set some labels depending on the PR body and sender. If the PR also contains a `routes` markdown block, it will set the `TEST_CONTINUE` environment variable to `true`. The workflow then downloads and extracts an artifact uploaded by the triggering workflow which is expected to contain a single `rsshub.tar.zst` file. However, prior to commit 64e00e7, it did not validate and the contents were extracted in the root of the workspace overriding any existing files. Since the contents of the artifact were not validated, it is possible for a malicious actor to send a Pull Request which uploads, not just the `rsshub.tar.zst` compressed docker image, but also a malicious `package.json` file with a script to run arbitrary code in the context of the privileged workflow. As of commit 64e00e7, this scenario has been addressed and the RSSHub repository is no longer vulnerable.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.