A scan report is only useful if you can tell, in under a minute, which of the findings in it need a fix this sprint and which can wait — and the fields that answer that question are severity, reachability, and fix availability, not the total finding count on the cover page. Most teams open a scanning report, see three hundred findings, and either panic or ignore it entirely. Neither is the right response. The report is a triage tool, not a scoreboard, and reading it well means knowing which five fields to check first and which ones are mostly noise.
What's actually on a scan report?
A scan report from a SAST, DAST, or SCA tool typically lists: a finding ID, a severity or CVSS score, the affected file/line or endpoint, a CWE or vulnerability class, and — if the tool is any good — an exploitability or reachability signal. The header summary (X critical, Y high, Z medium) is the least useful part of the document. It tells you volume, not risk. Two reports with "40 critical findings" can represent wildly different actual risk depending on whether those findings are in code paths that ever execute, dependencies that are actually imported, or endpoints that are internet-facing versus internal-only.
Which severity field should you trust — CVSS or the tool's own score?
Trust the tool's contextualized score over raw CVSS when the two disagree, because CVSS is calculated against the vulnerability in isolation, not your deployment. A CVSS 9.8 in a library function your application never calls is lower real-world risk than a CVSS 6.5 in a public login endpoint. Good scanning report output re-ranks by exploitability: is the vulnerable function actually invoked, is the package actually loaded at runtime, is there a known exploit in the wild. Checkmarx, Snyk, and most modern SAST/SCA tools now expose some version of this "reachability" or "exploit maturity" layer — read that column before you read the raw score.
Why do two scanners report different finding counts for the same codebase?
Two scanners disagree on finding counts because they use different rule sets, different CWE mappings, and different thresholds for what counts as a confirmed finding versus a possible one. A SAST tool with an aggressive ruleset will flag every string concatenation near a SQL call as a potential injection risk; a more conservative one will only flag it when it can trace unsanitized user input into that exact sink. Neither report is "wrong" — they're tuned differently. This is also why comparing raw finding counts across vendors during a bake-off is close to meaningless; compare true-positive rate on a shared test set instead.
What should you actually do with a report that has hundreds of findings?
Sort by exploitability and blast radius, not alphabetically or by file path. A practical triage order looks like: internet-facing + known-exploited + no compensating control, then internet-facing + high severity + fix available, then everything else. Deduplicate first — the same CWE-79 (XSS) pattern repeated across twelve near-identical controller files is one fix, not twelve tickets. Most vulnerability management services and platforms, including Safeguard, group findings by root cause and by fixable-in-one-PR clusters specifically so a report doesn't turn into hundreds of individual Jira tickets that nobody works through.
How do you know if a finding is a false positive?
Check three things before dismissing a finding: is the sink actually reachable from an entry point the scanner traced, is the input actually attacker-controlled, and does an existing control (parameterized query, output encoding, WAF rule) already neutralize it. A DAST scanner that reports "SQL injection detected" from an actual malicious payload response is a much stronger signal than a SAST tool flagging a pattern match with no data-flow trace. If you're unsure, reproduce it — DAST findings especially should include the exact request/response pair that triggered the alert, which makes reproduction and false-positive triage fast.
FAQ
What's the single most important field on a scan report?
Reachability or exploitability, if the tool provides it. It tells you whether the vulnerable code path or dependency is actually used, which separates real risk from theoretical risk far better than raw severity alone.
How often should scan reports be generated?
On every pull request for SAST/SCA, and on a recurring schedule (daily or weekly) for DAST against running environments, since new CVEs get disclosed against existing dependencies even when your code hasn't changed.
Should I fix everything a scan report flags?
No. Fix what's reachable, internet-facing, and has an available patch first. Track the rest with a documented risk acceptance if it's genuinely low exploitability — a report with zero accepted-risk items usually means nobody read past the summary page.
Do scan reports replace manual penetration testing?
No. Scanners are excellent at breadth and speed across known vulnerability classes; they miss business-logic flaws, chained exploits, and novel attack paths that a skilled human tester finds. Use both — see our SAST/DAST product page for how the two testing types complement each other, and check pricing for combined coverage.