Apache Parquet Java: Potential malicious code execution from trusted packages in the parquet-avro module when reading an Avro schema from a Parquet file metadata

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code. While 1.15.1 introduced a fix to restrict untrusted packages, the default setting of trusted packages still allows malicious classes from these packages to be...

External Control of File Name or Path

Overview Affected versions of this package are vulnerable to External Control of File Name or Path during schema parsing. Although loading untrusted classes is no longer vulnerable via this vector as of version 1.15.1, by default an attacker who can control a trusted class can execute arbitrary...

CVE-2025-46762

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code. While 1.15.1 introduced a fix to restrict untrusted packages, the default setting of trusted packages still allows malicious classes from these packages to be...

CVE-2025-46762

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code. While 1.15.1 introduced a fix to restrict untrusted packages, the default setting of trusted packages still allows malicious classes from these packages to be...

CVE-2025-46762

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code. While 1.15.1 introduced a fix to restrict untrusted packages, the default setting of trusted packages still allows malicious classes from these packages to be...

CVE-2025-46762

CVE-2025-46762 affects Apache Parquet, specifically the parquet-avro module (versions 1.15.0 and earlier). The issue is a schema parsing flaw that can allow arbitrary code execution when the client uses the specific or reflect models to read Parquet files; the generic model is not affected. Upgra...

CVE-2025-46762: External Control of File Name or Path

Schema parsing in the parquet-avro module of Apache Parquet 1.15.0 and previous versions allows bad actors to execute arbitrary code. While 1.15.1 introduced a fix to restrict untrusted packages, the default setting of trusted packages still allows malicious classes from these packages to be...

CVE-2025-46720 Keystone has an unintended `isFilterable` bypass that can be used as an oracle to match hidden fields

Keystone is a content management system for Node.js. Prior to version 6.5.0, field.isFilterable access control can be bypassed in update and delete mutations by adding additional unique filters. These filters can be used as an oracle to probe the existence or value of otherwise unreadable fields...

Malicious code in fake-linter-no-schema (npm)

The package communicates with a domain associated with malicious activity. --- -= Per source details. Do not edit below this line.=- Source: ghsa-malware f20fce888f575adb89ec821dd8a1a50867576b07e0bf0d5f418fdc1d732e8e0d Any computer that has this package installed or running should be considered...

parquet-avro module Apache Parquet Java library Code Execution

The vulnerability of the parquet-avro module in the Apache Parquet Java library is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability allows an attacker to execute arbitrary code during the processing of Avro schemas...

Logstash 8.15.3 Security Update (ESA-2024-38)

Logstash affected by CVE-2024-47561 in Apache Avro ESA-2024-38 On October 3, 2024, CVE-2024-47561 was published, which can lead to execution of arbitrary code. The issue only affects users using the Kafka integration plugin and only if a malicious schema is loaded through the schema registry...

Heap-based Buffer Under-read

libxml2.so is vulnerable to a Heap-based buffer under-read. The vulnerability is due to improper handling of identity constraints in the XML schema processing, specifically in the xmlSchemaIDCFillNodeTables function in xmlschemas.c, allows a heap-based buffer under-read when certain identity...

libxml2 < 2.13.8 / 2.14.x < 2.14.2 Multiple Vulnerabilities (macOS)

The version of libxml2 installed on the remote host is affected by multiple vulnerabilities. - In libxml2 before 2.13.8 and 2.14.x before 2.14.2, out-of-bounds memory access can occur in the Python API Python bindings because of an incorrect return value. This occurs in xmlPythonFileRead and...

MGASA-2025-0139 Updated libxml2 packages fix security vulnerabilities

CVE-2025-32414 Buffer overflow when parsing text streams with Python API CVE-2025-32415 Heap-based Buffer Overflow in xmlSchemaIDCFillNodeTables...

OESA-2025-1455 libxml2 security update

This library allows to manipulate XML files. It includes support to read, modify and write XML and HTML files. There is DTDs support this includes parsing and validation even with complex DtDs, either at parse time or later once the document has been modified. The output can be a simple SAX strea...

OESA-2025-1458 libxml2 security update

This library allows to manipulate XML files. It includes support to read, modify and write XML and HTML files. There is DTDs support this includes parsing and validation even with complex DtDs, either at parse time or later once the document has been modified. The output can be a simple SAX strea...

CVE-2025-32982: Improper Authorization

NETSCOUT nGeniusONE before 6.4.0 b2350 has a Broken Authorization Schema for the report module...

Buffer Under-read

Overview nokogiri is a gem for parsing HTML, XML, SAX, and Reader. Affected versions of this package are vulnerable to Buffer Under-read in the xmlSchemaIDCFillNodeTables function. An attacker can cause partial denial of service by by validating a malicious XML document against an XML schema usin...

CVE-2025-32442

A flaw was found in Fastify. In affected versions, applications that specify different validation strategies for various content types can bypass validation by using a slightly altered content type, such as with different casing or altered whitespace before ;. Mitigation To mitigate this...

Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data

Differentially private DP machine learning often relies on the availability of public data for tasks like privacy-utility trade-off estimation, hyperparameter tuning, and pretraining. While public data assumptions may be reasonable in text and image domains, they are less likely to hold for tabul...