Security readout for executives and security teams
Plain-English summary
SIF versions 1.2.2 and earlier can create predictable UUID identifiers when generating container image metadata. If an organization relies on those identifiers for uniqueness or integrity decisions, an attacker may be able to undermine assumptions about generated images. The public sources identify an upgrade path and a workaround.
Executive priority
Prioritize remediation for systems that build or trust SIF images in security-sensitive pipelines. The issue has high integrity impact but no confirmed active exploitation in the supplied evidence. Upgrade planning should be straightforward if SIF dependency ownership is clear.
Technical view
The issue affects `siftool new` and `siftool.New()`. They used a vulnerable `github.com/satori/go.uuid` dependency with insecure randomness, causing predictable UUIDs. The weakness maps to CWE-330 and carries CVSS 3.1 score 7.5 with high integrity impact.
Likely exposure
Exposure is likely where Sylabs SIF 1.2.2 or earlier is used to create Singularity Image Format files, especially if UUIDs are trusted for image identity, deduplication, policy, or integrity workflows. The bundle does not identify affected downstream products.
Exploitation context
The source bundle does not report active exploitation, and the CVE is not listed as KEV. Risk comes from predictable identifiers in generated SIF artifacts, not from evidence of public weaponization in the provided sources.
Researcher notes
The available evidence is narrow and specific: predictable UUIDs from insecure randomness in a dependency. Avoid assuming confidentiality or availability impact beyond the published CVSS vector. Focus validation on affected versions, UUID generation paths, and business logic that relies on UUID unpredictability.
Mitigation direction
- Upgrade Sylabs SIF to version 1.2.3 or later.
- Replace vulnerable `github.com/satori/go.uuid` usage where SIF creation code depends on it.
- For `CreateInfo`, generate `ID` with a non-vulnerable UUID implementation.
- Review vendor guidance before applying compensating controls.
Validation and detection
- Inventory SIF versions and flag deployments at 1.2.2 or earlier.
- Identify code paths calling `siftool new` or `siftool.New()`.
- Check whether `CreateInfo.ID` is caller-supplied or library-generated.
- Review security decisions that treat SIF UUIDs as unpredictable or authoritative.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-330: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupContainer behavior lookup
The affected technology mentions containers, so container-specific ATT&CK technique review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2021-29499 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- High
- CVSS
- 7.5 (3.1)
- Known Exploited
- No
- Published
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N3.93.6Primary CVE scoreVulnerability scoring details
Base CVSS 3.1 score
7.5HighVector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
Source materials
- CVE List V5 sourceCVE List V5
- https://github.com/sylabs/sif/security/advisories/GHSA-4gh8-x3vv-phhgCVE reference · x_refsource_CONFIRM
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Use of Insufficiently Random Values
Use of Insufficiently Random Values represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.