A scanning report is the output of a security scanner — a structured list of the vulnerabilities, misconfigurations, and policy violations a tool found across your code, dependencies, containers, or infrastructure, each with a severity, a location, and usually a suggested fix. The report itself is easy to generate; getting value from it is the hard part. Most teams' first scanning report has hundreds or thousands of findings, and the instinct to "fix everything" collapses under the volume. This guide explains what a scanning report contains, how to check a scanning report methodically, and how to turn a wall of findings into a short list of things that actually matter.
What a scanning report contains
Different scanners produce different reports, but almost all share the same anatomy. For each finding you'll typically see:
- An identifier — a CVE ID for a known dependency vulnerability (like
CVE-2021-44228), a rule ID for a code-analysis finding, or a check name for an infrastructure misconfiguration. - A severity or score, most often a CVSS rating from 0.0 to 10.0, bucketed into Low / Medium / High / Critical.
- A location — the file and line for code findings, or the package name and version for dependency findings.
- A description of the issue and its potential impact.
- Remediation guidance — the fixed version to upgrade to, or the code change to make.
- Metadata — when it was first detected, its status (open, fixed, accepted), and sometimes exploit or reachability context.
A good report also distinguishes the type of scan that produced each finding: static analysis (SAST) of your code, software composition analysis (SCA) of dependencies, container image scanning, or infrastructure-as-code checks. Knowing which tool flagged something shapes how you validate it.
Why severity alone is the wrong way to prioritize
The number one mistake in reading a scanning report is sorting by CVSS score and starting at the top. A CVSS score measures a vulnerability's theoretical worst-case severity in isolation — it says nothing about your environment. A 9.8 "critical" in a library you import but never call is less urgent than a 6.5 "medium" on your public login endpoint.
To prioritize honestly, layer three questions on top of the raw severity:
- Is it reachable? Does your code actually execute the vulnerable function, or is it dead weight in the dependency tree? Reachability analysis routinely deprioritizes the majority of "critical" dependency findings because the affected code path is never invoked.
- Is it exploitable in your context? Is the affected component exposed to untrusted input, or is it an internal build-time tool? Is there a known exploit in the wild (check whether it's in CISA's Known Exploited Vulnerabilities catalog)?
- What's the blast radius? A vulnerability on an internet-facing service handling customer data outranks the same vulnerability on an internal dashboard.
An SCA tool such as Safeguard can attach reachability and exploit context to each finding, which is what turns a 2,000-line report into a ranked list of a few dozen things worth doing this sprint. Our software composition analysis page covers how that context is derived.
How to check a scanning report step by step
A repeatable way to work through a report, especially the first big one:
- Deduplicate and group. The same vulnerable library often shows up in many places. Group by root cause — one dependency upgrade may resolve dozens of findings at once.
- Separate new from known. On an established project, focus on what changed since the last scan. A baseline of pre-existing accepted findings keeps you from re-triaging the same items every run.
- Filter by reachability and exposure. Push non-reachable, non-exposed findings to a lower tier rather than deleting them — they may matter later if the code path changes.
- Confirm real fixes exist. For each high-priority finding, verify a fixed version is available and won't break you. Sometimes the honest answer is a compensating control, not an upgrade.
- Assign and track. Every actioned finding needs an owner and a status. A report nobody owns is a report nobody fixes.
- Record accepted risk deliberately. When you decide not to fix something, document why and set a review date. That's a decision, not a dropped ball.
Watch for false positives
Not everything in a scanning report is real. Static analysis in particular produces false positives — a flagged pattern that isn't actually exploitable because of surrounding context the tool can't see. Dependency scanners can flag a CVE that only affects a feature you don't use. Part of reading a report well is validating high-impact findings before you spend engineering time on them, and marking confirmed false positives so they don't reappear. Chasing every finding as if it were real is how teams burn out and start ignoring the whole report. Our guide on the false positive problem in security goes deeper on tuning that balance.
Turning reports into a trend, not an event
A single scanning report is a snapshot. The real signal is the trend across reports over time: Is your critical count going down? Is mean time to remediate shrinking? Are new findings being triaged within a set window? Wire scanning into CI so a report is generated on every build, gate merges on a clear policy (for example, no new criticals on reachable code paths), and track the aggregate numbers on a dashboard. That turns scanning from a periodic fire drill into a steady, measurable practice. The security academy has more on building a vulnerability-management program around this.
FAQ
What is a security scanning report?
It's the structured output of a security scanner listing every issue it found — vulnerabilities, misconfigurations, and policy violations — across your code, dependencies, containers, or infrastructure. Each finding includes an identifier, a severity, a location, a description, and usually remediation guidance.
How do I prioritize findings in a scanning report?
Don't sort by CVSS score alone. Layer three questions on top: is the vulnerable code actually reachable, is it exploitable in your context (exposed to untrusted input, known exploit in the wild), and what's the blast radius. Reachability and exposure context usually shrink the urgent list dramatically.
Why does my scanning report have so many findings?
Because scanners report every pattern and known CVE they match, regardless of whether it's exploitable in your setup. The same vulnerable dependency also appears in many places. Grouping by root cause, filtering by reachability, and separating new from pre-existing findings reduces the list to what's actionable.
How do I check whether a finding is a false positive?
Validate high-impact findings before acting: for code findings, confirm the flagged path is actually reachable with untrusted input; for dependency findings, check whether the affected feature is one you use. Mark confirmed false positives so they don't reappear on the next scan.