Software supply-chain defensive security reference: SBOM generation and verification (SPDX / CycloneDX), dependency-confusion defense, malicious-package triage playbook, SLSA provenance levels, Sigstore / cosign signing and verification, package-registry hardening, typosquatting defense, and transitive-dependency auditing. Agent-extending skill that amplifies backend, security, and release-engineering work with production-grade defensive patterns for the software supply chain. NOT for: offensive techniques (dependency-confusion attack execution, malicious package authoring, registry exploitation), LLM/AI-specific security (see moai-ref-llm-security), web-app OWASP Top 10 (see moai-ref-owasp-checklist), or general API design (see moai-ref-api-patterns).
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Software supply-chain defensive security reference: SBOM generation and verification (SPDX / CycloneDX), dependency-confusion defense, malicious-package triage playbook, SLSA provenance levels, Sigstore / cosign signing and verification, package-registry hardening, typosquatting defense, and transitive-dependency auditing. Agent-extending skill that amplifies backend, security, and release-engineering work with production-grade defensive patterns for the software supply chain. NOT for: offensive techniques (dependency-confusion attack execution, malicious package authoring, registry exploitation), LLM/AI-specific security (see moai-ref-llm-security), web-app OWASP Top 10 (see moai-ref-owasp-checklist), or general API design (see moai-ref-api-patterns).
when_to_use
Use when generating or verifying an SBOM, defending against dependency confusion or typosquatting, triaging a suspicious package before adoption, raising a build to a SLSA provenance level, signing or verifying artifacts with Sigstore, hardening a package registry, or auditing transitive dependencies for vulnerabilities and license risk. Loads as background knowledge for release-engineering, dependency- hygiene, and supply-chain-hardening tasks across any language ecosystem.
Defensive practitioner reference for hardening a software supply chain — the chain
from source, through build, to the artifact a consumer installs. Every section is
framed as defense, hardening, detection, or verification: it describes the weakness,
how to detect it, and how to prevent it, never how to exploit it. AI/LLM-specific
supply-chain concerns (model and training-data provenance) live in
moai-ref-llm-security; web-application vulnerabilities live in
moai-ref-owasp-checklist.
Target Use
Apply when building, releasing, or consuming software components. The threat model
is an untrusted supply chain: any dependency you pull, any build step you run, and
any artifact you ship may have been substituted, tampered with, or impersonated.
The defenses below establish provenance (where did this come from?), integrity
(has it been altered?), and hygiene (is this the component I meant to use?).
The Supply-Chain Trust Boundaries
The core defensive insight: each hand-off in the chain is a boundary where a
component can be substituted or tampered. Establish provenance and verify integrity
at every hand-off.
Boundary
Substitution / tamper risk
Primary defense
Source resolution (name → package)
Dependency confusion, typosquatting
Namespace scoping, install-time verification, name allowlist
Dependency download
Compromised registry, MITM
Lockfile pinning by hash, signature verification
Transitive closure
Vulnerable or malicious deep dependency
Transitive audit, depth limits, SBOM diff
Build
Tampered build, injected step
SLSA provenance, isolated/ephemeral builders
Artifact publish
Substituted artifact
Sigstore signing, provenance attestation
Consumer install
Unverified artifact accepted
Signature + provenance verification at install/admission
SBOM — Generation and Verification
A Software Bill of Materials (SBOM) is the inventory of components in an artifact.
It is the foundation for every downstream defense: you cannot audit, scan, or verify
what you have not inventoried.
Format selection
The two open SBOM formats are interoperable; pick by ecosystem fit and consumer needs.
Format
Steward
Strength
SPDX
Linux Foundation (ISO/IEC 5962 standard)
License-centric; broad regulatory and legal acceptance
CycloneDX
OWASP
Security-centric; native vulnerability and dependency-relationship modeling
Minimum-element baseline
A useful SBOM carries at least the NTIA minimum elements: the supplier, the
component name, the version, unique identifiers, the dependency relationships, the
author of the SBOM data, and a timestamp. An SBOM missing dependency relationships
is an inventory, not a graph — it cannot answer "what pulls in this vulnerable
component?".
Generation and verification practice
The standard SBOM-generation tool (syft is the de-facto cross-ecosystem standard
that emits both SPDX and CycloneDX) inspects an artifact or source tree and produces
the component inventory. Generate the SBOM as part of the build, not after — an
SBOM generated later cannot see build-time-only dependencies. Verify an SBOM by
re-generating it from the artifact and diffing: a drift between the shipped SBOM and
the re-generated one signals tampering or an incomplete original.
Generate at build time so the SBOM reflects the exact resolved closure.
Attach the SBOM as a signed attestation (see Sigstore below) so a consumer can
trust the inventory, not just read it.
Diff SBOMs across releases to surface a newly-introduced or version-bumped
dependency before it ships.
Dependency-Confusion Defense
Dependency confusion (public disclosure, 2021) is when a resolver pulls a public
package that shadows an intended private/internal package of the same name, because
the resolver preferred the public registry. The defense is to make the resolver
prefer — or exclusively use — the trusted source for internal names. This section is
purely defensive: it describes how to prevent the substitution, not how to perform it.
Control
Defensive rationale
Namespace / scope reservation
Reserve the organization's package namespace on the public registry so an internal name cannot be claimed externally
Source pinning per name
Configure the resolver to fetch internal names ONLY from the internal registry; never let an internal name fall through to a public registry
Install-time hash verification
Pin every dependency to a content hash in the lockfile so a same-name substitution with different content is rejected
Registry routing controls
Use a registry proxy that routes internal-namespace requests to the internal source and refuses public fallback for those names
Lockfile hash-pinning is the cross-cutting control here: package managers across
ecosystems each record a content hash for every resolved dependency — pip writes
hashes in a requirements lockfile, npm records integrity hashes in its lockfile,
and cargo records checksums in its lockfile — and verify that hash on install, so
a same-name substitution with different bytes fails the check regardless of which
registry served it.
Malicious-Package Triage Playbook
When a dependency is suspect — flagged by a feed, an advisory, or a reviewer — triage
it before it enters (or to decide whether to evict it). The playbook is detection and
response, never an analysis of how to author a malicious package.
Triage signals (detection)
Signal
What it indicates
Name near-match to a popular package
Possible typosquat (see Typosquatting Defense)
Recent maintainer change or new publisher
Possible account takeover or hand-off to a bad actor
Install/post-install script presence
Code runs at install time — a common abuse vector; inspect what it does
Unexpected network or filesystem access in scripts
Exfiltration or persistence behavior
Version published out of cadence / sudden major jump
Possible hijack of an abandoned package
Mismatch between repository and published artifact
The published artifact was not built from the claimed source
Response procedure
Quarantine: pin the last-known-good version and block the suspect version in
the resolver / proxy so no build pulls it.
Verify provenance: check whether the artifact has a signature and provenance
attestation (Sigstore / SLSA below); an unverifiable artifact stays quarantined.
Inventory exposure: use the SBOM to find every build that already pulled the
suspect version (this is what the SBOM dependency graph is for).
Report upstream: notify the package registry's security/advisory channel and,
if internal, the internal security owner. Most registries provide a malware/abuse
reporting channel.
Record: capture the triage verdict and the evidence so a future occurrence is
faster to adjudicate.
SLSA Provenance Levels
SLSA (Supply-chain Levels for Software Artifacts) defines build-integrity levels.
Provenance is signed metadata describing how an artifact was built; the level states
how trustworthy that provenance is. The current Build track defines four levels
(L0–L3); the level rises as the build becomes harder to tamper with. (Earlier SLSA
versions numbered the levels L1–L4 — same idea, four graduated levels.)
Level
What it guarantees
How to verify
Build L0
No guarantee
n/a — treat as unverified
Build L1
Provenance exists: the build process is documented and emits provenance
Check that provenance accompanies the artifact and describes the build
Build L2
Signed provenance from a hosted build platform — tamper-evident via signing
Verify the provenance signature chains to the expected build platform identity
Build L3
Hardened build: provenance is non-forgeable, the build runs in an isolated / ephemeral environment, secret material is isolated from the build
Verify the signature AND that the builder identity is a hardened, isolated platform
Defensive practice: require a minimum level for what you consume. A release
pipeline should refuse to deploy an artifact whose provenance is below the level the
environment demands — production typically requires signed provenance (L2+) at
minimum, and high-assurance environments require a hardened builder (L3).
Sigstore / cosign Signing and Verification
Sigstore is the de-facto cross-ecosystem standard for signing and verifying software
artifacts. The standard Sigstore signing tool, cosign, signs artifacts and
verifies signatures; it pairs with a certificate authority that issues short-lived
identity-bound certificates and a transparency log that records every signature. This
section frames Sigstore as the verification mechanism a consumer applies, never as a
way to forge a signature.
Keyless signing model
Keyless signing removes the long-lived private key — the most-stolen secret in a
signing pipeline. Instead:
The signer authenticates with an identity provider (OIDC).
The CA issues a short-lived certificate bound to that identity.
The artifact is signed with the ephemeral key.
The signature and certificate are recorded in a public transparency log.
The result: a verifier can confirm which identity signed this artifact without any
party holding a long-lived key that could be stolen.
Verification at the consumer boundary
The defensive value is on the verify side. A consumer (or an admission gate)
verifies an artifact's signature and checks the signer identity against an expected
identity policy before accepting the artifact. The standard verification invocation
shape is cosign verify --certificate-identity <expected> --certificate-oidc-issuer <expected> <artifact-ref>. Verification fails closed: an unsigned or wrong-identity
artifact is rejected.
Verify at install / admission time, not only at publish time — the boundary
that matters is where the artifact is accepted.
Pin the expected signer identity so a validly-signed-but-wrong-identity
artifact is rejected.
Verify the SBOM and provenance attestations the same way — they are signed
artifacts too.
Package-Registry Hardening
The registry is a high-value target: compromising it lets an attacker substitute
artifacts at the source. Harden both the registry you publish to and any internal
mirror you operate.
Control
Defensive rationale
Two-factor on all publish/admin accounts
Account takeover is the most common registry-compromise vector; 2FA blocks credential-stuffing
Registry-side signing / required attestations
Require artifacts to carry a verifiable signature + provenance before they are publishable or consumable
Mirror / proxy pinning
Pin an internal mirror to specific upstream versions by hash so an upstream change cannot silently flow through
Scoped publish tokens
Issue per-package, least-privilege publish tokens; never a broad token that can publish any package
Immutable published versions
Disallow re-publishing over an existing version so a published artifact cannot be swapped after the fact
Audit logging on publish
Log every publish with the identity and artifact hash for tamper detection and incident response
Typosquatting Defense
Typosquatting registers a package whose name is a near-miss of a popular one
(transposed letters, added/removed character, lookalike spelling), hoping a developer
mistypes the name. The defense is name verification and allowlisting; this section
does not describe how to register a squat.
Control
Defensive rationale
Dependency name allowlist
Resolve only from a vetted allowlist of exact package names; a near-miss name is not on the list
Automated typo / similarity detection
Run name-similarity checks in CI to flag a new dependency whose name is one edit-distance from a popular package
Namespace registration
Register the organization's own likely-mistyped names defensively so they cannot be squatted
Pin exact names + hashes
Combine exact-name pinning with hash-pinning so even a name collision serves the wrong bytes and fails the hash check
A name-allowlist plus hash-pinning is the strongest combination: the allowlist
rejects an unexpected name, and the hash check rejects unexpected bytes under an
expected name.
Transitive-Dependency Auditing
Most of a project's dependency surface is transitive — pulled in by direct
dependencies. A vulnerability or malicious package three levels deep is still in your
artifact. Audit the full closure, not just the direct dependencies.
Audit dimensions
Dimension
Defensive control
Vulnerability
Scan the full transitive closure against vulnerability advisories; fail the build on a severity threshold
License
Scan transitive licenses against an allowed-license policy; flag a non-compliant deep dependency
Depth / count
Bound dependency depth and total count; an unexpectedly deep or wide closure is a review signal
Lockfile integrity
Pin the entire closure by hash in the lockfile so the audited closure is the installed closure
Ecosystem-neutral auditing
Every language ecosystem ships an advisory-database audit tool that walks the
transitive closure and reports known-vulnerable dependencies — for example pip-audit
(Python), npm audit (Node.js), cargo audit (Rust), govulncheck (Go), and
bundler-audit (Ruby) each consult their ecosystem's advisory database. Run the
ecosystem's audit tool in CI, fail the build on findings above a chosen severity, and
re-run on every lockfile change so a newly-introduced transitive vulnerability is
caught before merge. For cross-ecosystem projects, a Software Composition Analysis
(SCA) tool that consumes the SBOM gives a single audit across all ecosystems at once.
Cross-References
moai-ref-llm-security — AI/LLM defensive security, including model and
training-data provenance (the supply-chain surface specific to ML artifacts that
this skill's SBOM/SLSA/Sigstore controls underpin).
moai-ref-owasp-checklist — web-application OWASP Top 10, including A06
(Vulnerable and Outdated Components), which the transitive-dependency audit here
operationalizes at the supply-chain layer.
moai-ref-api-patterns — REST/GraphQL API design and error handling (the
application surface, distinct from the supply-chain surface).
Defensive Severity Levels
Level
Label
Action
Example
P0
CRITICAL
Block release
Unsigned artifact accepted at production deploy; no lockfile hash-pinning on internal-namespace packages
P1
HIGH
Fix before merge
No transitive vulnerability audit in CI; SBOM not generated at build time
P2
MEDIUM
Fix within iteration
No automated typosquat detection on new dependencies; registry publish without 2FA
P3
LOW
Track in backlog
SBOM present but not attached as a signed attestation; license audit not yet enforced
Common Rationalizations
Rationalization
Reality
"We only use well-known packages, so we do not need an SBOM"
You cannot triage a newly-disclosed vulnerability without an inventory. The SBOM is what tells you whether the bad component is in your artifact at all.
"Lockfile pinning by version is enough"
Version pinning without hash pinning still accepts substituted bytes under the same version string. Pin by content hash so a same-version substitution fails.
"Dependency confusion only affects companies with private packages"
Any project that resolves an internal name from a resolver that can fall through to a public registry is exposed. Scope internal names to the trusted source.
"Signature verification slows down our pipeline"
Verification is the boundary between accepting a tampered artifact and rejecting it. An unverified artifact in production is the expensive outcome, not the verification step.
"Transitive dependencies are the upstream maintainer's problem"
A vulnerable transitive dependency ships inside your artifact under your name. Audit the full closure; the depth of the problem does not change whose artifact it is in.
"SLSA is overkill for an internal build"
The SLSA level you require is the assurance you get against a tampered build. Internal builds are tampered too; require at least signed provenance for anything you deploy.
Provenance-by-default: every artifact you consume is unverified until you check
its signature and provenance, and every name you resolve is unverified until it
matches an expected name and hash. Trust is established by verification, not by
familiarity.
Red Flags
An artifact is deployed to production without verifying its signature and provenance
Internal-namespace package names can fall through to a public registry when the internal source misses
The lockfile pins versions but not content hashes, so a same-version substitution would pass
No SBOM is generated at build time, so the deployed artifact's component inventory is unknown
The transitive dependency closure is never audited against vulnerability or license advisories
A new dependency is added with no name-similarity check against popular package names
