Elevation of privilege

A Code Execution vulnerability exists in Android prior to 4.4.0 related to the addJavascriptInterface method and the accessibility and accessibilityTraversal objects, which could let a remote malicious user execute arbitrary code.

In Skia, there is a possible out of bounds write due to a heap buffer overflow. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Out-of-Bounds Read in netfilter/ipset in Linux Kernel ChromeOS [6.1, 5.15, 5.10, 5.4, 4.19] allows a local attacker with low privileges to trigger an out-of-bounds read, potentially leading to information disclosure

Access Control Vulnerability in Gerrit chromiumos project configuration in Google ChromeOS 16063.87.0 allows an attacker with a registered Gerrit account to inject malicious code into ChromeOS projects and potentially achieve Remote Code Execution and Denial of Service via editing trusted pipelines by insufficient access controls and misconfigurations in Gerrit's project.config.

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 input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.

Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

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 dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

In the Pixel cellular firmware, there is a possible out of bounds write due to a missing bounds check. This could lead to remote code execution with LTE authentication needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-238914868References: N/A

In cellular modem firmware, there is a possible out of bounds read due to a missing bounds check. This could lead to remote code execution with LTE authentication needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android kernelAndroid ID: A-240462530References: N/A

Insufficient data validation in V8 API in Google Chrome prior to 128.0.6613.84 allowed a remote attacker to potentially exploit heap corruption via a crafted Chrome Extension. (Chromium security severity: Medium)

Improper input validation for some Intel Unison software may allow an authenticated user to potentially enable escalation of privilege via network access.

Insufficient data validation in Updater in Google Chrome prior to 128.0.6537.0 allowed a remote attacker to perform privilege escalation via a malicious file. (Chromium security severity: Medium)

Android before 2024-10-05 on Google Pixel devices allows privilege escalation in the ABL component, A-330537292.

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

A privilege escalation vulnerability impacting the Google Exposure Notification Verification Server (versions prior to 0.23.1), allows an attacker who (1) has UserWrite permissions and (2) is using a carefully crafted request or malicious proxy, to create another user with higher privileges than their own. This occurs due to insufficient checks on the allowed set of permissions. The new user creation event would be captured in the Event Log.

In getDefaultCBRPackageName of CellBroadcastHandler.java, there is a possible escalation of privilege due to a logic error in the code. This could lead to local denial of service with System execution privileges needed. User interaction is not needed for exploitation.

In multiple locations, there is a possible way to launch an application from the background due to a precondition check failure. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

protobuf allows remote authenticated attackers to cause a heap-based buffer overflow.

Improper access control for some Intel Unison software may allow an authenticated user to potentially enable escalation of privilege via network access.

Improper authentication for some Intel Unison software may allow an authenticated user to potentially enable escalation of privilege via network access.

In launchDeepLinkIntentToRight of SettingsHomepageActivity.java, there is a possible way to launch arbitrary activities due to improper input validation. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12L Android-13Android ID: A-250589026

In smp_process_secure_connection_oob_data of smp_act.cc, there is a possible way to bypass SMP authentication due to Incorrect implementation of a protocol. This could lead to remote escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple locations, there is a possible way to overlay the installation confirmation dialog due to a tapjacking/overlay attack. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

In multiple locations, there is a possible way that avdtp and avctp channels could be unencrypted due to a logic error in the code. This could lead to local escalation of privilege with User execution privileges needed. User interaction is not needed for exploitation.

In sendCommand of MediaSessionRecord.java, there is a possible way to launch the foreground service while the app is in the background due to FGS while-in-use abuse. This could lead to local escalation of privilege with no additional execution privileges needed. User interaction is not needed for exploitation.

Dell SmartFabric OS10 Software, version(s) 10.5.4.x, 10.5.5.x, 10.5.6.x, 10.6.0.x, contain(s) an Execution with Unnecessary Privileges vulnerability. A low privileged attacker with remote access could potentially exploit this vulnerability, leading to Elevation of privileges.

A vulnerability in the web-based management interface of Cisco ATA 190 Series Analog Telephone Adapter firmware could allow an authenticated, remote attacker with low privileges to run commands as an Admin user. This vulnerability is due to incorrect authorization verification by the HTTP server. An attacker could exploit this vulnerability by sending a malicious request to the web-based management interface. A successful exploit could allow the attacker to run commands as the Admin user.

A remote code execution vulnerability in EdgeRouters (Version 2.0.9-hotfix.4 and earlier) allows a malicious actor with an operator account to run arbitrary administrator commands.This vulnerability is fixed in Version 2.0.9-hotfix.5 and later.

OpenLearnX is an open-source, decentralized learning and assessment platform. Prior to version 2.0.3, a remote code execution (RCE) vulnerability was identified in the OpenLearnX code execution environment, allowing sandbox escape and arbitrary command execution. This issue has been patched in version 2.0.3.

Jupyter Core is a package for the core common functionality of Jupyter projects. Jupyter Core prior to version 4.11.2 contains an arbitrary code execution vulnerability in `jupyter_core` that stems from `jupyter_core` executing untrusted files in CWD. This vulnerability allows one user to run code as another. Version 4.11.2 contains a patch for this issue. There are no known workarounds.

IBM i 7.2, 7.3, 7.4, 7.5, and 7.6 product IBM TCP/IP Connectivity Utilities for i contains a privilege escalation vulnerability. A malicious actor with command line access to the host operating system can elevate privileges to gain root access to the host operating system.

Skipper is an HTTP router and reverse proxy for service composition. The default skipper configuration before 0.23.0 was -lua-sources=inline,file. The problem starts if untrusted users can create lua filters, because of -lua-sources=inline , for example through a Kubernetes Ingress resource. The configuration inline allows these user to create a script that is able to read the filesystem accessible to the skipper process and if the user has access to read the logs, they an read skipper secrets. This vulnerability is fixed in 0.23.0.

Execution with Unnecessary Privileges vulnerability in Nebim Neyir Computer Industry and Services Inc. Nebim V3 ERP allows Expanding Control over the Operating System from the Database.This issue affects Nebim V3 ERP: from 2.0.59 before 3.0.1.

A low-privilege user may use SQL syntax to write arbitrary files to the OpenClinic GA 5.09.02 and 5.89.05b server, which may allow the execution of arbitrary commands.

IBM Storage Scale 5.2.2.0 and 5.2.2.1, under certain configurations, could allow an authenticated user to execute privileged commands due to improper input neutralization.

Execution with Unnecessary Privileges in GitHub repository polonel/trudesk prior to 1.2.3.

Execution with unnecessary privileges in PerkinElmer ProcessPlus allows an attacker to spawn a remote shell on the windows system.This issue affects ProcessPlus: through 1.11.6507.0.

A vulnerability has been identified in RUGGEDCOM ROX MX5000 (All versions < V2.14.1), RUGGEDCOM ROX RX1400 (All versions < V2.14.1), RUGGEDCOM ROX RX1500 (All versions < V2.14.1), RUGGEDCOM ROX RX1501 (All versions < V2.14.1), RUGGEDCOM ROX RX1510 (All versions < V2.14.1), RUGGEDCOM ROX RX1511 (All versions < V2.14.1), RUGGEDCOM ROX RX1512 (All versions < V2.14.1), RUGGEDCOM ROX RX1524 (All versions < V2.14.1), RUGGEDCOM ROX RX1536 (All versions < V2.14.1), RUGGEDCOM ROX RX5000 (All versions < V2.14.1). The affected devices have a privilege escalation vulnerability, if exploited, an attacker could gain root user access.

Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability in Iocharger firmware for AC models allows OS Command Injection as root This issue affects all Iocharger AC EV charger models on a firmware version before 25010801. Likelihood: Moderate – The <redacted> binary does not seem to be used by the web interface, so it might be more difficult to find. It seems to be largely the same binary as used by the Iocharger Pedestal charging station, however. The attacker will also need a (low privilege) account to gain access to the <redacted> binary, or convince a user with such access to execute a crafted HTTP request. Impact: Critical – The attacker has full control over the charging station as the root user, and can arbitrarily add, modify and delete files and services. CVSS clarification: Any network interface serving the web ui is vulnerable (AV:N) and there are not additional security measures to circumvent (AC:L), nor does the attack require and existing preconditions (AT:N). The attack is authenticated, but the level of authentication does not matter (PR:L), nor is any user interaction required (UI:N). The attack leads to a full compromised (VC:H/VI:H/VA:H), and compromised devices can be used to pivot into networks that should potentially not be accessible (SC:L/SI:L/SA:H). Becuase this is an EV charger handing significant power, there is a potential safety impact (S:P). This attack can be automated (AU:Y).

Improper Neutralization of Special Elements used in a Command ('Command Injection') vulnerability  allows OS Command Injection as root This issue affects Iocharger firmware for AC model chargers before version 24120701. Likelihood: Moderate – The <redacted> binary does not seem to be used by the web interface, so it might be more difficult to find. It seems to be largely the same binary as used by the Iocharger Pedestal charging station, however. The attacker will also need a (low privilege) account to gain access to the <redacted> binary, or convince a user with such access to execute a crafted HTTP request. Impact: Critical – The attacker has full control over the charging station as the root user, and can arbitrarily add, modify and delete files and services. CVSS clarification: Any network interface serving the web ui is vulnerable (AV:N) and there are not additional security measures to circumvent (AC:L), nor does the attack require and existing preconditions (AT:N). The attack is authenticated, but the level of authentication does not matter (PR:L), nor is any user interaction required (UI:N). The attack leads to a full compromised (VC:H/VI:H/VA:H), and compromised devices can be used to pivot into networks that should potentially not be accessible (SC:L/SI:L/SA:H). Becuase this is an EV charger handing significant power, there is a potential safety impact (S:P). This attack can be automated (AU:Y).