What is the CVSS score of CVE-2018-17057?

CVE-2018-17057 has a CVSS 3.0 base score of 9.8 (Critical). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 26.2%.

Is there a public PoC exploit available for CVE-2018-17057?

Yes, a public proof-of-concept exploit is available for CVE-2018-17057. Prioritise patching immediately. EPSS: 26.2%.

Is there a patch available for CVE-2018-17057?

Yes, a patch is available for CVE-2018-17057. Update the affected software to the latest version immediately.

Tcpdf CVE-2018-17057

CRITICAL

Deserialization of Untrusted Data (CWE-502)

2018-09-14 cve@mitre.org

Deserialization Tcpdf Limesurvey

9.8

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

9.8 CRITICAL

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

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

CVE Published

Sep 14, 2018 - 20:29 nvd

CRITICAL 9.8

DescriptionNVD

An issue was discovered in TCPDF before 6.2.22. Attackers can trigger deserialization of arbitrary data via the phar:// wrapper.

AnalysisAI

An issue was discovered in TCPDF before 6.2.22. Rated critical severity (CVSS 9.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code 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. An issue was discovered in TCPDF before 6.2.22. Attackers can trigger deserialization of arbitrary data via the phar:// wrapper. Affected products include: Tecnick Tcpdf, Limesurvey. Version information: before 6.2.22..

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.