What is the CVSS score of CVE-2020-28948?

CVE-2020-28948 has a CVSS 3.1 base score of 7.8 (High). CVSS vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. EPSS exploitation probability: 47.5%.

Is there a public PoC exploit available for CVE-2020-28948?

Yes, a public proof-of-concept exploit is available for CVE-2020-28948. Prioritise patching immediately. EPSS: 47.5%.

Is there a patch available for CVE-2020-28948?

Yes, a patch is available for CVE-2020-28948. Update the affected software to the latest version immediately.

Archive Tar CVE-2020-28948

HIGH

Deserialization of Untrusted Data (CWE-502)

2020-11-19 cve@mitre.org

Deserialization Archive Tar Debian Linux Fedora Drupal

7.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

7.8 HIGH

AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Attack Vector

Local

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Nov 19, 2020 - 19:15 nvd

HIGH 7.8

DescriptionNVD

Archive_Tar through 1.4.10 allows an unserialization attack because phar: is blocked but PHAR: is not blocked.

AnalysisAI

Archive_Tar through 1.4.10 allows an unserialization attack because phar: is blocked but PHAR: is not blocked. Rated high severity (CVSS 7.8), this vulnerability is no authentication required, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. Archive_Tar through 1.4.10 allows an unserialization attack because phar: is blocked but PHAR: is not blocked. Affected products include: Php Archive Tar, Debian Debian Linux, Fedoraproject Fedora, Drupal. Version information: through 1.4.10.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.