Cyber Resilience

CVE-2024-28977

Path Traversal in Dell Repository Manager 3.4.2 – 3.4.4

Published
24 April 2024
Modified
21 January 2025
Patch / advisory
CVSS Score v3.1 3.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
EPSS Score 0.0023 14th percentile
Risk Priority 15 floored blend · peak EPSS

Summary

CVE-2024-28977 is a low-severity Improper Input Validation (CWE-20) vulnerability in Dell Repository Manager. Its CVSS base score is 3.3 (Low).

Operationally, ranked at the 14th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Dell Repository Manager, versions 3.4.2 through 3.4.4,contains a Path Traversal vulnerability in logger module. A local attacker with low privileges could potentially exploit this vulnerability to gain unauthorized read access to the files stored on the server filesystem with the…

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privileges of the running web application.

CWE(s)

Related Threats

CVEs Like This One

CVE-2024-28976Same product: Dell Repository Manager
CVE-2025-22397Same vendor: Dell
CVE-2023-43070Same vendor: Dell
CVE-2025-43934Same vendor: Dell
CVE-2026-27101Same vendor: Dell
CVE-2024-37129Same vendor: Dell
CVE-2023-48660Same vendor: Dell
CVE-2025-22479Same vendor: Dell
CVE-2023-44306Same vendor: Dell
CVE-2023-44278Same vendor: Dell

Affected Assets

dell
repository manager
3.4.2 — 3.4.4

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 6 hardening rules · 3 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V5.3.2

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-20 CWE-22

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require and enforce input validation during development.

PR.PS-02 partial match
prevents

Patching/maintenance can remediate known path-traversal flaws in deployed software (partial prevention of exploitability) but does nothing to stop the coding defect from being introduced in the first place.

PR.AA-05 none match
prevents

PR.AA-05 defines and reviews access policies but does not address code-level pathname neutralization, so neither direction prevents CWE-22.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

detects

Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.

prevents

Secure-coding guidelines and mandatory security testing (including code scans) compel developers to validate and sanitize inputs at design and implementation time, lowering the incidence of malformed or malicious data reaching downstream components.

prevents

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

prevents

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

mitigates

Information access restriction limits which files an application may read or write.

References