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This post first appeared on blog.netwrix.com and was written by Jonathan Blackwell.
Introduction to Sending Emails with PowerShell PowerShell is an indispensable tool for task automation, configuration management, system monitoring and querying data. But you can also send email with PowerShell. For instance, PowerShell scripts can monitor systems and post email alerts for specific events, resource constraints or completed tasks. However, it’s critical to ensure that emails … Continued

A vulnerability, which was classified as critical, was found in Sun Solaris. Affected is an unknown function of the file kcms_configure. The manipulation leads to memory corruption. This vulnerability is traded as CVE-1999-0321. Attacking locally is a requirement. Furthermore, there is an exploit available. It is recommended to upgrade the affected component.

A vulnerability was found in Intel Crosswalk 20/21/22/up to 19 and classified as critical. This issue affects some unknown processing of the component X.509 Certificate Handler. The manipulation leads to improper input validation. The identification of this vulnerability is CVE-2016-5672. The attack may be initiated remotely. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability classified as problematic has been found in Ettercap up to 0.8.2. This affects the function compile_tree of the file ef_compiler.c of the component Etterfilter. The manipulation leads to out-of-bounds read. This vulnerability is uniquely identified as CVE-2017-6430. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability classified as critical has been found in Acer Portal App up to 3.9.4 on Android. This affects an unknown part of the component SSL Certificate. The manipulation leads to improper certificate validation. This vulnerability is uniquely identified as CVE-2016-5648. It is possible to initiate the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability classified as critical was found in ImageMagick. This vulnerability affects unknown code of the component Image File Handler. The manipulation leads to improper input validation. This vulnerability was named CVE-2016-3714. The attack can be initiated remotely. Furthermore, there is an exploit available. It is recommended to upgrade the affected component.

A vulnerability was found in Netgear Management System NMS300 up to 1.5.0.11. It has been rated as very critical. Affected by this issue is some unknown functionality of the file fileUpload.do of the component File Upload. The manipulation leads to unrestricted upload. This vulnerability is handled as CVE-2016-1524. The attack can only be initiated within the local network. Furthermore, there is an exploit available.

A vulnerability classified as critical has been found in Netgear Management System NMS300 up to 1.5.0.11. This affects an unknown part of the file data/config/image.do. The manipulation of the argument realName with the input .. leads to path traversal. This vulnerability is uniquely identified as CVE-2016-1525. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.

A vulnerability has been found in SolarWinds Dameware Remote Mini Controller 12.0 and classified as critical. This vulnerability affects unknown code of the file dwrcs.exe of the component dwmrcs Daemon. The manipulation leads to memory corruption. This vulnerability was named CVE-2016-2345. The attack can be initiated remotely. Furthermore, there is an exploit available.

A vulnerability was found in CA Release Automation up to 4.7.0. It has been declared as critical. Affected by this vulnerability is an unknown functionality. The manipulation leads to sql injection. This vulnerability is known as CVE-2014-8248. The attack can be launched remotely. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability was found in Harman AMX 2.87.13. It has been rated as critical. This issue affects the function setUpSubtleUserAccount of the file /bin/bw. The manipulation leads to credentials management. The identification of this vulnerability is CVE-2015-8362. The attack may be initiated remotely. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability classified as critical was found in Squid Proxy up to 2.6.STABLE7. This vulnerability affects the function external_acl of the component Queue Handler. The manipulation leads to improper resource management. This vulnerability was named CVE-2007-0247. The attack can be initiated remotely. Furthermore, there is an exploit available. It is recommended to upgrade the affected component.

A vulnerability classified as critical has been found in Squid Proxy up to 2.6.STABLE7. This affects an unknown part of the component FTP URL Handler. The manipulation leads to improper resource management. This vulnerability is uniquely identified as CVE-2007-0247. It is possible to initiate the attack remotely. Furthermore, there is an exploit available. It is recommended to upgrade the affected component.

A vulnerability was found in PostgreSQL. It has been declared as critical. This vulnerability affects unknown code of the component Init Script. The manipulation leads to race condition. This vulnerability was named CVE-2017-14798. An attack has to be approached locally. Furthermore, there is an exploit available.

A long promising approach comes of age

I won’t revisit the arguments for anomaly detection as a crucial piece of cybersecurity. We’ve seen waves of anomaly detection over the years — and CISA, DARPA, Gartner, and others have explained the value of anomaly detection. As rules-based detections show their age and attackers adopt AI to accelerate their innovation, anomaly detection is more needed than ever.

However — traditional anomaly detection has been caught in a Sisyphean cycle: build multiple bespoke models for each account, tune endlessly, and still face diminishing returns as threats and the operating environment evolve.

In a recent paper, “Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice” (arXiv:2403.17458), the authors compare traditional machine learning based anomaly detection approaches to a deep neural network (DNN)-based system across several benchmarks: CICIDS2017, UNSW-NB15, and others. The DNN outperformed across all datasets except for one, delivering both higher F1 scores and more consistent performance across different evaluation datasets.

You can see from the paper that the deep neural network (DNN) outperformed all prior generation ML both in terms of accuracy, as measured by F1 score, and adaptability, as shown in having the most consistent performance. The Stratosphere use case where the DNN performed least well is a very specific IoT dataset. It appears that the DNN had not been exposed to this sort of data in its training.

The conclusion is clear: better models are both more accurate AND generalize better.

The Monolithic Past: Fragile, Overfit, and Labor-Intensive

Traditional anomaly detection relies on one or more bespoke models for every environment.

Every model deployed requires:

• Hand-tuned thresholds.
• Manual feature engineering.
• Endless maintenance including retraining and evaluation to combat obsolescence.

Also, these systems suffer from overfitting, locking into patterns specific to the training data but brittle in the face of novel threats. Worse, they’re resource hogs, demanding constant attention from detection engineers. While anomaly detection usage is increasing, it is easy to see why many detection engineers find them only slightly less frustrating than the thicket of rules-based detections many are expected to maintain and rely upon.

Enter Foundation Models + Classifiers

Foundation models like our deep neural network based LogLM Tempo flip this paradigm. Trained on vast, diverse datasets, they deliver a generalizable core capable of identifying patterns across environments. Fine-tuned classifiers adapt the model for specific accounts or threat profiles with minimal overhead.

This approach isn’t just scalable — it’s transformative. By decoupling the core model from account-specific adjustments, detection engineers free their time up from endless firefighting.

For the first time, we can have Collective Defense — via ever-improving foundation models — plus rapid customization and adaptation.

Precision, Adaptability, and the Future

The cited paper’s results reveal a crucial advantage of foundation models: they’re not just more accurate but more adaptable. Higher F1 scores across datasets imply better generalization — an essential trait in an industry where yesterday’s threat model is obsolete tomorrow.

Our LogLM Tempo builds on these principles, delivering:

• Precision: Enhanced detection accuracy.
• Efficiency: A single model architecture that scales across accounts and use cases.
• Plus — Adaptability: These models generalize well and can be further adapted quickly by fine-tuning classifiers.

Classifiers allow for the efficient applicability of a foundation model to particular use cases. As an example, we use a classifier on top of our Tempo foundation model to essentially learn a threshold for anomalies. Users of our free-to-try Tempo on Snowflake can also fine-tune for their environment — and this fine-tuning adapts an anomaly-discerning classifier, which is much more efficient than retraining an entire model.

Take a look at the Snowflake listing here:

Conclusion

Anomaly detection — a long-promised and yet often frustrating approach to cybersecurity incident identification — is coming of age. Recent studies have shown that neural network based approaches are both more accurate and more adaptable; our Tempo LogLM takes this to the next level, adding easy-to-use classifiers onto a foundation transformer-based deep learning model for further adaptability and accuracy.

In these blogs we are trying to explain how the state of the art in incident detection is changing. We believe that increased accuracy and adaptability open up the opportunity for collective defense and new business models.

Please let us know below if you have suggestions or questions you would like us to dig into.

Anomaly Detection for Cybersecurity was originally published in DeepTempo on Medium, where people are continuing the conversation by highlighting and responding to this story.

The post Anomaly Detection for Cybersecurity appeared first on Security Boulevard.

A vulnerability classified as problematic was found in Extent Technologies RBS ISP 2.5. Affected by this vulnerability is an unknown functionality. The manipulation of the argument image leads to path traversal. This vulnerability is known as CVE-2000-1036. The attack can be launched remotely. Furthermore, there is an exploit available.

Why is Efficient Secret Governance Essential? Have you ever pondered the importance of strategic secret governance and what it means to your cybersecurity strategy? In the evolving landscape of threats and vulnerabilities, it’s essential to consider new facets of security, such as managing Non-Human Identities (NHIs) and secrets. NHIs are machine identities used in cybersecurity, […]

The post Gain Relief with Strategic Secret Governance appeared first on Entro.

The post Gain Relief with Strategic Secret Governance appeared first on Security Boulevard.

So, What’s the Deal with Recent API Security Innovations? As companies across the spectrum of industries including finance, healthcare, travel, and more intensify their adoption of digital technologies, there’s an undeniable need for robust security measures to protect their assets in the cloud. More than ever, Non-Human Identities (NHIs) and Secrets Security Management are emerging […]

The post Innovation in API Security: What’s New appeared first on Entro.

The post Innovation in API Security: What’s New appeared first on Security Boulevard.

A vulnerability classified as very critical has been found in Ninjaforge Com Ninjaxplorer up to 1.0.4. Affected is an unknown function of the component JAXP. The manipulation leads to Remote Code Execution. This vulnerability is traded as CVE-2012-6503. It is possible to launch the attack remotely. There is no exploit available. It is recommended to upgrade the affected component.

A vulnerability was found in Sysax Multi Server up to 5.49. It has been rated as very critical. Affected by this issue is some unknown functionality. The manipulation leads to memory corruption. This vulnerability is handled as CVE-2012-6530. The attack may be launched remotely. Furthermore, there is an exploit available. It is recommended to upgrade the affected component.