CVE-2026-107290 Vulnerability Analysis & Exploit Details

CVE-2026-107290
Vulnerability Scoring

6.5
/10
High Risk

If left unpatched, CVE-2026-107290 could lead to major system disruptions or data loss.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: Low
    Some privileges are necessary to exploit the vulnerability.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2026-107290 Details

Status: Analyzed

Last updated: 🕝 13 Oct 2026, 14:34 UTC
Originally published on: 🕔 08 Oct 2026, 17:17 UTC

Time between publication and last update: 4 days

CVSS Release: version 3

CVSS3 Source

security-advisories@github.com

CVSS3 Type

Secondary

CVSS3 Vector

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

CVE-2026-107290 Vulnerability Summary

CVE-2026-107290: Pydantic AI is a Python agent framework for building applications and workflows with Generative AI. From 1.77.0 until 1.107.6 and 2.44.0, the local web_fetch_tool and the WebFetch local fallback process server-controlled responses with quadratic title extraction, whitespace normalization, and ordered-list numbering. An attacker-controlled page of modest size can therefore block the event loop for an extended period, stalling other agent runs and requests, while unsupported codecs or excessive HTML or JSON nesting can abort an individual run. This issue is fixed in versions 1.107.6 and 2.44.0.

Assessing the Risk of CVE-2026-107290

Access Complexity Graph

The exploitability of CVE-2026-107290 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2026-107290

CVE-2026-107290 presents an accessible attack vector with minimal effort required. Restricting access controls and implementing security updates are critical to reducing exploitation risks.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2026-107290, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2026-107290, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: None
    CVE-2026-107290 has no significant impact on data confidentiality.
  • Integrity: None
    CVE-2026-107290 poses no threat to data integrity.
  • Availability: High
    CVE-2026-107290 can disrupt system operations, potentially causing complete denial of service (DoS).

CVE-2026-107290 References

External References

CWE Common Weakness Enumeration

CWE-1333

CAPEC Common Attack Pattern Enumeration and Classification

  • Regular Expression Exponential Blowup CAPEC-492 An adversary may execute an attack on a program that uses a poor Regular Expression(Regex) implementation by choosing input that results in an extreme situation for the Regex. A typical extreme situation operates at exponential time compared to the input size. This is due to most implementations using a Nondeterministic Finite Automaton(NFA) state machine to be built by the Regex algorithm since NFA allows backtracking and thus more complex regular expressions.

Vulnerable Configurations

  • cpe:2.3:a:pydantic:pydantic_ai:1.77.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.77.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.78.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.78.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.79.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.79.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.80.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.80.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.81.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.81.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.82.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.82.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.83.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.83.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.84.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.84.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.84.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.84.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.85.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.85.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.85.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.85.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.86.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.86.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.86.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.86.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.87.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.87.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.88.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.88.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.89.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.89.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.89.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.89.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.90.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.90.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.91.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.91.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.92.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.92.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.93.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.93.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.94.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.94.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.95.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.95.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.95.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.95.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.96.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.96.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.96.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.96.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.97.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.97.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.98.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.98.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.99.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.99.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.100.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.100.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.101.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.101.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.102.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.102.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.103.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.103.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.104.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.104.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.105.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.105.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.106.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.106.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.107.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.107.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:1.107.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:1.107.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:-:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:-:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta1:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta1:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta1:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta1:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta2:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta2:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta2:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta2:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta3:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta3:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta3:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta3:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta4:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta4:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta4:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta4:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta5:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta5:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta5:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta5:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta6:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta6:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta6:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta6:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta7:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta7:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta7:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.0.0:beta7:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.1.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.1.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.2.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.2.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.3.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.3.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.4.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.4.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.5.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.5.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.5.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.5.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.6.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.6.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.7.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.7.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.8.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.8.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.9.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.9.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.9.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.9.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.10.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.10.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.11.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.11.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.12.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.12.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.13.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.13.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.14.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.14.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.14.1:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.14.1:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.15.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.15.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.16.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.16.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.17.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.17.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.18.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.18.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.19.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.19.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.20.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.20.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.21.0:*:*:*:*:python:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.21.0:*:*:*:*:python:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.22.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.22.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.23.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.23.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.25.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.25.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.26.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.26.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.27.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.27.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.29.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.29.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.31.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.31.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.31.1:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.31.1:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.32.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.32.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.32.1:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.32.1:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.32.2:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.32.2:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.33.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.33.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.34.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.34.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.35.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.35.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.35.1:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.35.1:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.35.3:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.35.3:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.36.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.36.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.37.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.37.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.38.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.38.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.39.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.39.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.40.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.40.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.41.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.41.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.42.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.42.0:*:*:*:*:*:*:*
  • cpe:2.3:a:pydantic:pydantic_ai:2.43.0:*:*:*:*:*:*:*
    cpe:2.3:a:pydantic:pydantic_ai:2.43.0:*:*:*:*:*:*:*

Protect Your Infrastructure against CVE-2026-107290: Combat Critical CVE Threats

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Other 5 Recently Published CVEs Vulnerabilities

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