CVE-2017-17289
3.3 · LOWOverview
CVE-2017-17289 is a low-severity vulnerability affecting huawei dp300_firmware. It was published on February 15, 2018 and has a CVSS 3.0 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.0 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical Description
Huawei DP300 V500R002C00, RP200 V500R002C00, V600R006C00, TE30 V100R001C10, V500R002C00, V600R006C00, TE40 V500R002C00, V600R006C00, TE50 V500R002C00, V600R006C00, TE60 V100R001C10, V500R002C00, V600R006C00 have a memory leak vulnerability. The software does not release allocated memory properly when handling XML data. An authenticated, local attacker could upload crafted XML file repeatedly to cause memory leak and service abnormal.
Remediation
Check the references section for vendor advisories and patches from huawei. Update dp300_firmware to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
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Frequently Asked Questions
What is CVE-2017-17289?
CVE-2017-17289 is a low-severity vulnerability affecting huawei dp300_firmware. It was published on February 15, 2018 and has a CVSS 3.0 base score of 3.3 (LOW).
How severe is CVE-2017-17289?
This vulnerability has a CVSS 3.0 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2017-17289?
Check the references section for vendor advisories and patches from huawei. Update dp300_firmware to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2017-17289?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-17289 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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