Apple Opens PCC Source Code for Researchers to Identify Bugs in Cloud AI Security

Apple has publicly made available its Private Cloud Compute PCC Virtual Research Environment VRE, allowing the research community to inspect and verify the privacy and security guarantees of its offering. PCC, which Apple unveiled earlier this June, has been marketed as the "most advanced securit...

Reducing False Positives in API Security: Advanced Techniques Using Machine Learning

False positives in API security are a serious problem, often resulting in wasted results and time, missing real threats, alert fatigue, and operational disruption. Fortunately, however, emerging technologies like machine learning ML can help organizations minimize false positives and streamline t...

PT-2024-40926 · Pqcrypto · Pqcrypto

Name of the Vulnerable Software and Affected Versions: pqcrypto crate affected versions not specified Description: The pqcrypto crate has been replaced by pqcrypto-mldsa, which provides a FIPS204-compatible implementation of ML-DSA. Recommendations: At the moment, there is no information about a...

PT-2024-40927 · Unknown · Pqcrypto-Mlkem

Name of the Vulnerable Software and Affected Versions: pqcrypto-mlkem affected versions not specified Description: The issue concerns the replacement of a crate with pqcrypto-mlkem, which provides a FIPS203-compatible implementation of ML-KEM. Recommendations: At the moment, there is no informati...

LangChain < 0.2.4 RCE

The remote host contains a langchain version that is prior to 0.2.4. It is, therefore, affected by a vulnerability in the FAISS.deserializefrombytes function of langchain-ai/langchain which allows for pickle deserialization of untrusted data. This can lead to the execution of arbitrary commands v...

CVE-2024-49361

ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A potential vulnerability has been identified in the input validation process, which could lead to arbitrary code execution if exploited. This issue could allow an attacker to submit...

CVE-2024-49361 Potential Vulnerability in ACON Library: Improper Input Validation Leading to Malicious Code Execution

ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A potential vulnerability has been identified in the input validation process, which could lead to arbitrary code execution if exploited. This issue could allow an attacker to submit...

CVE-2024-49361 Potential Vulnerability in ACON Library: Improper Input Validation Leading to Malicious Code Execution

ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A potential vulnerability has been identified in the input validation process, which could lead to arbitrary code execution if exploited. This issue could allow an attacker to submit...

CVE-2024-49361

CVE-2024-49361 concerns the ACON library (Adaptive Correlation Optimization Network) and describes an input-validation vulnerability that could allow remote code execution when processing user-supplied data. Multiple sources corroborate that an attacker could submit malicious input to bypass vali...

CVE-2024-49361 Potential Vulnerability in ACON Library: Improper Input Validation Leading to Malicious Code Execution

ACON is a widely-used library of tools for machine learning that focuses on adaptive correlation optimization. A potential vulnerability has been identified in the input validation process, which could lead to arbitrary code execution if exploited. This issue could allow an attacker to submit...

What I’ve learned in my first 7-ish years in cybersecurity

When I first interviewed with Joel Esler for my position at Cisco Talos, I remember when the time came for me to ask questions, one thing stood out. I asked what resources were available to me to learn about cybersecurity, because I was totally new to the space. His answer: The people. When I ask...

The Rise of Zero-Day Vulnerabilities: Why Traditional Security Solutions Fall Short

In recent years, the number and sophistication of zero-day vulnerabilities have surged, posing a critical threat to organizations of all sizes. A zero-day vulnerability is a security flaw in software that is unknown to the vendor and remains unpatched at the time of discovery. Attackers exploit...

Imperva Adaptive Threshold for Layer 7 DDoS Attacks Reduces Risk of Business Disruption

Today’s fast-paced digital landscape demands an optimized user experience that is always available to engage end users. However, businesses are constantly under threat from a variety of attacks that seek to disrupt that experience, including DDoS attacks. And the risk is growing. According to the...

The Value of AI-Powered Identity

Introduction Artificial intelligence AI deepfakes and misinformation may cause worry in the world of technology and investment, but this powerful, foundational technology has the potential to benefit organizations of all kinds when harnessed appropriately. In the world of cybersecurity, one of th...

Finding a needle in a haystack: Machine learning at the forefront of threat hunting research

Introduction In the ever-evolving landscape of cybersecurity, logs, that is information collected from various sources like network devices, endpoints, and applications, plays a crucial role in identifying and responding to threats. By analyzing this data, organizations can detect anomalies,...

CVE-2024-40442

An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote attacker to escalate privileges via a crafted REST Request...

CVE-2024-40441

An issue in Doccano Open source annotation tools for machine learning practitioners v.1.8.4 and Doccano Auto Labeling Pipeline module to annotate a document automatically v.0.1.23 allows a remote attacker to escalate privileges via the modelattribs parameter...

CBL Mariner 2.0 Security Update: tensorflow (CVE-2023-33976)

The version of tensorflow installed on the remote CBL Mariner 2.0 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the CVE-2023-33976 advisory. - TensorFlow is an end-to-end open source platform for machine learning. arrayops.upperbound causes a...

KB5042215 - Description of the security update for SQL Server 2017 CU31: September 10, 2024

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Division By Zero Error

TensorFlow is vulnerable to a division by zero error. The vulnerability is due to insufficient handling of cases where the input's fourth dimension is zero in the DepthwiseConv TFLite operator, which can allows to execution issues or crashes in machine learning models...