Application vulnerability scanning that produces fix-ready evidence.

Source-code analysis is valuable, but it cannot show every behavior that appears after an application is deployed. Dynamic application security testing, or DAST, interacts with the running application from the outside. It discovers reachable routes, sends controlled test inputs, and examines responses for evidence of security weaknesses in the runtime environment.

SolrSunrise application scanning is built around authorized targets and bounded scan profiles. Teams can begin with passive crawling, security headers, TLS posture, and component detection, then use broader DAST or authenticated coverage when the target, test window, and access method have been approved.

• Discover reachable pages, routes, forms, services, and application components
• Review headers, TLS behavior, middleware, and exposed technology signals
• Test web and API behavior with scoped, non-destructive checks
• Use approved authentication references for session-aware coverage
• Preserve request, response, detector, target, and scan context as evidence

Application vulnerability scanning is not one technique. The right control depends on whether the team is reviewing source code, third-party packages, infrastructure definitions, or a deployed application. SolrSunrise brings supported findings into a common remediation workflow while keeping the original scan source visible.

Application scanners can identify signals associated with injection, cross-site scripting, insecure headers, exposed components, authentication or session weaknesses, sensitive-data exposure, server misconfiguration, API behavior, and other common web security risks. Coverage varies by target, scan profile, authentication, and the behavior reachable during the test.

SolrSunrise keeps the technical context required for review. A finding can include the affected target, detector or rule, vulnerability identity, validation summary, request and response evidence, severity, exploit context, and recommended action. Stable finding identity and deduplication reduce repeated work when the same issue appears across scans.

• OWASP-aligned web and API security checks within the selected profile
• Evidence for the specific route, target, or component observed
• Authenticated and unauthenticated coverage where authorized
• Normalized severity and vulnerability identifiers where available
• Clear separation between a scanner observation and a confirmed risk decision

The most important application behavior often sits behind login, role checks, or multi-step workflows. Authenticated scanning can improve coverage, but it also requires stronger safeguards. The team must define which account is approved, which roles and actions are in scope, how a session should be established, and which state-changing behavior the scanner must avoid.

SolrSunrise supports reference-based authentication profiles and session-aware application scanning so raw credentials do not need to be placed in an ordinary scan request. Scope controls, rate limits, safe defaults, and non-destructive validation policies help keep automated testing inside the agreed boundary. A human reviewer should still evaluate target sensitivity and choose the appropriate profile before an active scan.

A scan is useful only when its output reaches the team that can change the application. SolrSunrise connects discovery to an operating sequence that security and engineering can follow together.

This workflow reduces a common AppSec failure: security sends a generic vulnerability label, engineering cannot reproduce it, and the issue returns to a backlog with no reliable owner. Keeping evidence, priority, and closure state together makes the handoff easier to review and easier to audit.

• Define the authorized URL, environment, exclusions, access model, and scan profile.
• Crawl reachable application behavior and run the approved tests.
• Normalize and deduplicate observations while retaining technical evidence.
• Prioritize with severity, exploit information, exposure, asset importance, and evidence quality.
• Assign the finding with a recommended fix and the context needed to reproduce it.
• Track remediation, request a focused retest, and preserve verification evidence.

Not every application finding deserves the same response. A weakness on an internet-facing production route with convincing evidence and known exploitation context has a different risk profile from a low-confidence observation in an isolated test environment.

SolrSunrise can combine CVSS, EPSS, CISA KEV status, exploit availability, external exposure, asset importance, evidence confidence, remediation availability, age, ownership, and SLA status where those signals are available. The priority reasons remain visible so developers and risk owners can understand why a finding moved ahead of other work.

Automated application scanning is well suited to repeatable checks, recurring coverage, release gates, and broad testing of known vulnerability classes. A penetration test is the better next step when the main question depends on business logic, authorization between roles or tenants, chained weaknesses, creative abuse cases, or the real impact an attacker could achieve across several systems.

SolrSunrise pentest services begin with qualification and written authorization. A human tester confirms objectives, targets, exclusions, safety boundaries, timing, and deliverables before testing. The result includes technical evidence, risk-ranked guidance, and a retest path that can feed the same remediation conversation as automated findings.

SolrSunrise is designed for security teams that need runtime application visibility, engineering teams that want reproducible findings, organizations preparing for a release or customer security review, and MSPs or MSSPs delivering recurring application security work across authorized client environments.

Scanning does not guarantee complete vulnerability detection, compliance, or breach prevention. Results depend on reachable functionality, scan configuration, access, application state, and the selected checks. Teams should combine automated testing with secure design, code review, dependency controls, monitoring, and human judgment.