PYSEC-2022-54

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

Out-of-bounds

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

PYSEC-2022-50

Tensorflow is an Open Source Machine Learning Framework. The implementation of Dequantize does not fully validate the value of axis and can result in heap OOB accesses. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of...

PYSEC-2022-52

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

CVE-2022-21727 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

CVE-2022-21727

CVE-2022-21727 : TensorFlow’s Dequantize shape inference is vulnerable to an integer overflow because the axis bound is not checked before computing axis+1. The fix is to be included in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and 2.5.3. Remediation guidance across connected sources i...

CVE-2022-21727 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

CVE-2022-21726

TensorFlow CVE-2022-21726 affects the Dequantize path, where axis validation is insufficient and can cause heap-out-of-bounds reads. The issue arises when axis is -1 (default) or any large positive value not checked against input dimensions, reading past the dimensions array. A fix is planned for...

CVE-2022-21728

CVE-2022-21728 affects TensorFlow: ReverseSequence shape-inference can yield a heap-based out-of-bounds read because batch_dim is checked for being too large but not for negative values. The mitigation path is a forthcoming fix in TensorFlow 2.8.0, with cherry-picks into 2.7.1, 2.6.3, and 2.5.3. ...

CVE-2022-21728 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

CVE-2022-21730

Summary: CVE-2022-21730 describes an out-of-bounds read in TensorFlow’s FractionalAvgPoolGrad due to invalid input handling. This affects TensorFlow releases prior to the fixed patch and is resolved by the fix in TensorFlow 2.8.0, with cherry-picks to 2.7.1, 2.6.3, and 2.5.3. Affected component: ...

CVE-2022-21730 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this...

Gartner® names Microsoft a Leader in the 2022 Magic Quadrant™ for Enterprise Information Archiving

With data doubling every two years, it is more critical than ever to have simple and integrated tools to understand and manage risks to an organization. As more people work remotely, users collaborate and store data in different locations. These secular trends offer new possibilities in how work...

Gartner® names Microsoft a Leader in the 2022 Magic Quadrant™ for Enterprise Information Archiving

With data doubling every two years, it is more critical than ever to have simple and integrated tools to understand and manage risks to an organization. As more people work remotely, users collaborate and store data in different locations. These secular trends offer new possibilities in how work...

Security Bulletin: IBM Watson Machine Learning in Cloud Pak for Data is vulnerable to denial of service and arbitrary code execution due to Apache Log4j (CVE-2021-45105, CVE-2021-45046)

Summary There are multiple Apache Log4j vulnerabilities CVE-2021-45105, CVE-2021-45046 impacting IBM Watson Machine Learning in Cloud Pak for Data which uses Apache Log4j for logging. The fix includes Apache Log4j 2.17. Vulnerability Details CVEID: CVE-2021-45105 DESCRIPTION: Apache Log4j is...

Google Drops FLoC and Introduces Topics API to Replace Tracking Cookies for Ads

Google on Tuesday announced that it is abandoning its controversial plans for replacing third-party cookies in favor of a new Privacy Sandbox proposal called Topics, which categorizes users' browsing habits into approximately 350 topics. The new mechanism, which takes the place of FLoC short for...

Real Big Phish: Mobile Phishing & Managing User Fallibility

According to a recent survey from Ivanti, nearly three-quarters 74 percent of IT professionals reported that their organizations have fallen victim to a phishing attack – and 40 percent of those happened in the last month alone. Increasingly, mobile phishing is the culprit. What’s more, nearly ha...

Being Naughty to See Who Was Nice: Machine Learning Attacks on Santa’s List

Editor’s note: We had planned to publish our Hacky Holidays blog series throughout December 2021 – but then Log4Shell happened, and we dropped everything to focus on this major vulnerability that impacted the entire cybersecurity community worldwide. Now that it’s 2022, we’re feeling in need of...

Demystifying XDR: How Humans and Machines Join Forces in Threat Response

In our first post on demystifying the concepts and practices behind extended detection and response XDR technology, Forrester analyst Allie Mellen joined Sam Adams, Rapid7's VP for Detection and Response, to outline the basic framework for XDR and highlight the key outcomes it can help security...

Security Bulletin: Vulnerability in addressable - CVE-2021-32740 impacts IBM Watson Machine Learning Accelerator

Summary Addressable is used IBM Watson Machine Learning Accelerator. This bulletin provides mitigations for the addressable vulnerability CVE-2021-32740 by upgrading addressable to latest version. Vulnerability Details Refer to the security bulletins listed in the Remediation/Fixes section Affect...