GHSA-87R5-MP6G-5W5J jsonpath has Arbitrary Code Injection via Unsafe Evaluation of JSON Path Expressions

Impact Arbitrary Code Injection Remote Code Execution & XSS: A critical security vulnerability affects all versions of the jsonpath package. The library relies on the static-eval module to evaluate JSON Path expressions but fails to properly sanitize or sandbox the input. This allows an attacker ...

CVE-2026-1615

Versions of the package jsonpath before 1.3.0 are vulnerable to Arbitrary Code Injection via unsafe evaluation of user-supplied JSON Path expressions. The library relies on the static-eval module to process JSON Path input, which is not designed to handle untrusted data safely. An attacker can...

CVE-2026-1615

Versions of the package jsonpath before 1.3.0 are vulnerable to Arbitrary Code Injection via unsafe evaluation of user-supplied JSON Path expressions. The library relies on the static-eval module to process JSON Path input, which is not designed to handle untrusted data safely. An attacker can...

CVE-2026-1615

Versions of the package jsonpath before 1.3.0 are vulnerable to Arbitrary Code Injection via unsafe evaluation of user-supplied JSON Path expressions. The library relies on the static-eval module to process JSON Path input, which is not designed to handle untrusted data safely. An attacker can...

CVE-2026-1615

Versions of the package jsonpath before 1.3.0 are vulnerable to Arbitrary Code Injection via unsafe evaluation of user-supplied JSON Path expressions. The library relies on the static-eval module to process JSON Path input, which is not designed to handle untrusted data safely. An attacker can...

CVE-2026-1615

Versions of the package jsonpath before 1.3.0 are vulnerable to Arbitrary Code Injection via unsafe evaluation of user-supplied JSON Path expressions. The library relies on the static-eval module to process JSON Path input, which is not designed to handle untrusted data safely. An attacker can...

CVE-2026-1615

CVE-2026-1615 affects the jsonpath family (e.g., org.webjars.npm:jsonpath, jsonpath) with Arbitrary Code Injection due to unsafe evaluation of user-supplied JSON Path expressions. The root cause is use of the static-eval module to process JSON Path input, which is not safe for untrusted data, all...

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity

Deep Reinforcement Learning DRL has achieved remarkable success in domains requiring sequential decision-making, motivating its application to cybersecurity problems. However, transitioning DRL from laboratory simulations to bespoke cyber environments can introduce numerous issues. This is furthe...

PT-2026-7066

Name of the Vulnerable Software and Affected Versions jsonpath affected versions not specified Description The package jsonpath is susceptible to Arbitrary Code Injection due to unsafe evaluation of user-supplied JSON Path expressions. The library utilizes the static-eval module to process JSON...

PT-2026-7155

PlaciPy is a placement management system designed for educational institutions. In version 1.0.0, the code evaluation endpoint does not validate the assessment lifecycle state before allowing execution. There is no check to ensure that the assessment has started, is not expired, or the submission...

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

Malware, malicious software designed to damage computer systems and perpetrate scams, is proliferating at an alarming rate, with thousands of new threats emerging daily. Android devices, prevalent in smartphones, smartwatches, tablets, and IoTs, represent a vast attack surface, making malware...

jsonpath 安全漏洞

JSONPath is a JSONPath engine developed by David Chester as an individual contributor. There is a security vulnerability in JSONPath, which stems from the insecure evaluation of JSON Path expressions provided to users. This vulnerability may lead to arbitrary code injection, potentially causing...

PlaciPy 安全漏洞

PlaciPy is an open-source employment management system developed by Praskla Technology. It aims to simplify the employment processes for students, trainers, and managers in educational institutions. Version 1.0.0 of PlaciPy contains a security vulnerability. This vulnerability stems from the...

PlaciPy 授权问题漏洞

PlaciPy is an open-source tool developed by PlaciPy to generate placeholder images. Version 1.0.0 of PlaciPy has a vulnerability related to authorization issues. This vulnerability stems from the code evaluation endpoint not verifying the lifecycle status of evaluations, which may lead to...

CVE-2026-1977

A security vulnerability has been detected in isaacwasserman mcp-vegalite-server up to 16aefed598b8cd897b78e99b907f6e2984572c61. Affected by this vulnerability is the function eval of the component visualizedata. Such manipulation of the argument vegalitespecification leads to code injection. The...

CVE-2026-25481

Langroid is a framework for building large-language-model-powered applications. Prior to version 0.59.32, there is a bypass to the fix for CVE-2025-46724. TableChatAgent can call pandaseval tool to evaluate the expression. There is a WAF in langroid/utils/pandasutils.py introduced to block code...

o6 Automation GmbH Open62541

RISK EVALUATION Successful exploitation of this vulnerability could allow an attacker to cause a denial-of-service condition and memory corruption. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this vulnerability, such as: Minimize...

TP-Link Systems Inc. VIGI Series IP Camera

RISK EVALUATION Successful exploitation of this vulnerability could result in unauthorized users gaining administrative access to affected closed circuit television cameras. 2. RECOMMENDED PRACTICES CISA recommends users take defensive measures to minimize the risk of exploitation of this...

Persistent Human Feedback, LLMs, and Static Analyzers for Secure Code Generation and Vulnerability Detection

Existing literature heavily relies on static analysis tools to evaluate LLMs for secure code generation and vulnerability detection. We reviewed 1,080 LLM-generated code samples, built a human-validated ground-truth, and compared the outputs of two widely used static security tools, CodeQL and...

Deep Learning for Contextualized NetFlow-Based Network Intrusion Detection: Methods, Data, Evaluation and Deployment

Network Intrusion Detection Systems NIDS have progressively shifted from signature-based techniques toward machine learning and, more recently, deep learning methods. Meanwhile, the widespread adoption of encryption has reduced payload visibility, weakening inspection pipelines that depend on...