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fix acrolinx grammar spelling understand weaknesses
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articles/firmware-analysis/understanding-weaknesses-data.md renamed to articles/firmware-analysis/understand-weaknesses-data.md

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ms.service: azure
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# Understanding and prioritizing weaknesses data in firmware analysis
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# Understand and prioritize weaknesses data in firmware analysis
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Firmware analysis surfaces weaknesses detected in firmware components extracted during analysis. These signals help you understand potential security risks, but they should be interpreted carefully and in context.
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This article explains weakness-related fields you may see in firmware analysis results, how they relate to one another, and how to evaluate them together to prioritize risk effectively.
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Firmware analysis associates CVEs with extracted firmware components when a match is identified.
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A single firmware component might be associated with multiple CVEs, and a single CVE might appear across multiple devices or components.
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CVEs identify what the issue is, but they do not indicate impact or exploitability on their own.
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CVEs identify what the issue is, but they don't indicate impact or exploitability on their own.
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For more information about CVE identifiers and the CVE program, see the official [Common Vulnerabilities and Exposures documentation maintained by MITRE](https://www.cve.org).
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These values provide comparative risk context but don't guarantee exploitation.
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To filter by EPSS in the Azure Portal, specify the EPSS score in a decimal form (for example, for an EPSS score of `>50%`, filter for `>0.5`).
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To filter by EPSS in the Azure portal, specify the EPSS score in a decimal form (for example, for an EPSS score of `>50%`, filter for `>0.5`).
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Percentile rankings are often more operationally useful, as they show how a CVE ranks relative to the broader vulnerability ecosystem.
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1. Confirm exploitation status (KEV)
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* Treat KEV-listed weaknesses as highest priority
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* Do not downgrade KEV items based on CVSS score alone
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* Don't downgrade KEV items based on CVSS score alone
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Confirmed exploitation should be evaluated before any scoring metric.
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2. Assess exploit maturity
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* Elevate priority for weaknesses with funtional or weaponized eploits
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* Elevate priority for weaknesses with functional or weaponized exploits
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* Combine exploit maturity with exposure characteristics
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Exploit availability increases real-world risk.
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EPSS adds probabilistic context to prioritization decisions.
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> [!NOTE]
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> To filter by EPSS in the Azure Portal, specify the EPSS score in a decimal form (for example, for an EPSS score of `>50%`, filter for `>0.5`).
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> To filter by EPSS in the Azure portal, specify the EPSS score in a decimal form (for example, for an EPSS score of `>50%`, filter for `>0.5`).
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4. Review attack vector and exposure
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From the CVSS vector, consider:
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* Network-accessible vulnerabilities vs. local or physical access
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* Authentication and user interaction requirements
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* Whether the affected component or service is actually exposed in the deployment
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* Whether the affected component or service is exposed in the deployment
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A vulnerability may appear severe but present reduced risk if it is not reachable in practice
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A vulnerability may appear severe but present reduced risk if it isn't reachable in practice
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5. Assess technical impact severity (CVSS)
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* Whether the system is production or core infrastructure
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* Potential operational, safety, or compliance impact
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Business impact influences urgency but does not change vulnerability mechanics.
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Business impact influences urgency but doesn't change vulnerability mechanics.
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7. Consider fix availability
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* Upgrade complexity
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* Available mitigations
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Fix avilability should inform scheduling, but should not override exploitation evidence.
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Fix availability should inform scheduling, but shouldn't override exploitation evidence.
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## Important considerations

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