CWE-125

Out-of-bounds Read

The product reads data past the end, or before the beginning, of the intended buffer.

CVE-2020-14314 (GCVE-0-2020-14314)

Vulnerability from cvelistv5 – Published: 2020-09-15 00:00 – Updated: 2024-08-04 12:39
VLAI
Summary
A memory out-of-bounds read flaw was found in the Linux kernel before 5.9-rc2 with the ext3/ext4 file system, in the way it accesses a directory with broken indexing. This flaw allows a local user to crash the system if the directory exists. The highest threat from this vulnerability is to system availability.
CWE
Assigner
Impacted products
Vendor Product Version
Linux Kernel kernel Affected: before 5.9-rc2
Create a notification for this product.
Show details on NVD website

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CVE-2020-14364 (GCVE-0-2020-14364)

Vulnerability from cvelistv5 – Published: 2020-08-31 17:11 – Updated: 2024-08-04 12:46
VLAI
Summary
An out-of-bounds read/write access flaw was found in the USB emulator of the QEMU in versions before 5.2.0. This issue occurs while processing USB packets from a guest when USBDevice 'setup_len' exceeds its 'data_buf[4096]' in the do_token_in, do_token_out routines. This flaw allows a guest user to crash the QEMU process, resulting in a denial of service, or the potential execution of arbitrary code with the privileges of the QEMU process on the host.
Severity
No CVSS data available.
CWE
Assigner
References
Impacted products
Vendor Product Version
n/a QEMU Affected: QEMU versions before 5.2.0
Show details on NVD website

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CVE-2020-14377 (GCVE-0-2020-14377)

Vulnerability from cvelistv5 – Published: 2020-09-30 18:53 – Updated: 2024-08-04 12:46
VLAI
Summary
A flaw was found in dpdk in versions before 18.11.10 and before 19.11.5. A complete lack of validation of attacker-controlled parameters can lead to a buffer over read. The results of the over read are then written back to the guest virtual machine memory. This vulnerability can be used by an attacker in a virtual machine to read significant amounts of host memory. The highest threat from this vulnerability is to data confidentiality and system availability.
Severity
No CVSS data available.
CWE
Assigner
Impacted products
Vendor Product Version
n/a dpdk Affected: All dpdk versions before 18.11.10 and before 19.11.5
Show details on NVD website

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CVE-2020-15208 (GCVE-0-2020-15208)

Vulnerability from cvelistv5 – Published: 2020-09-25 18:45 – Updated: 2024-08-04 13:08
VLAI
Title
Data corruption in tensorflow-lite
Summary
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can craft cases where this is larger than that of the second tensor. In turn, this would result in reads/writes outside of bounds since the interpreter will wrongly assume that there is enough data in both tensors. The issue is patched in commit 8ee24e7949a203d234489f9da2c5bf45a7d5157d, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
CWE
  • CWE-125 - {"CWE-125":"Out-of-bounds Read"}
  • CWE-787 - {"CWE-787":"Out-of-bounds Write"}
Assigner
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 1.15.4
Affected: >= 2.0.0, < 2.0.3
Affected: >= 2.1.0, < 2.1.2
Affected: >= 2.2.0, < 2.2.1
Affected: >= 2.3.0, < 2.3.1
Create a notification for this product.
Show details on NVD website

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CVE-2020-15211 (GCVE-0-2020-15211)

Vulnerability from cvelistv5 – Published: 2020-09-25 18:45 – Updated: 2024-08-04 13:08
VLAI
Title
Out of bounds access in tensorflow-lite
Summary
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code.
CWE
  • CWE-125 - {"CWE-125":"Out-of-bounds Read"}
  • CWE-787 - {"CWE-787":"Out-of-bounds Write"}
Assigner
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 1.15.4
Affected: >= 2.0.0, < 2.0.3
Affected: >= 2.1.0, < 2.1.2
Affected: >= 2.2.0, < 2.2.1
Affected: >= 2.3.0, < 2.3.1
Create a notification for this product.
Show details on NVD website

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CVE-2020-15265 (GCVE-0-2020-15265)

Vulnerability from cvelistv5 – Published: 2020-10-21 20:20 – Updated: 2024-08-04 13:15
VLAI
Title
Segfault in Tensorflow
Summary
In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
CWE
Assigner
Impacted products
Vendor Product Version
tensorflow tensorflow Affected: < 2.4.0
Create a notification for this product.
Show details on NVD website

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CVE-2020-15630 (GCVE-0-2020-15630)

Vulnerability from cvelistv5 – Published: 2020-08-19 20:55 – Updated: 2024-08-04 13:22
VLAI
Summary
This vulnerability allows remote attackers to disclose sensitive information on affected installations of Foxit Studio Photo 3.6.6.922. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the handling of PNG files. The issue results from the lack of proper validation of user-supplied data, which can result in a read past the end of an allocated structure. An attacker can leverage this in conjunction with other vulnerabilities to execute code in the context of the current process. Was ZDI-CAN-10977.
CWE
Assigner
zdi
References
Impacted products
Vendor Product Version
Foxit Studio Photo Affected: 3.6.6.922
Create a notification for this product.
Credits
Mat Powell of Trend Micro Zero Day Initiative
Show details on NVD website

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CVE-2020-16201 (GCVE-0-2020-16201)

Vulnerability from cvelistv5 – Published: 2020-08-04 18:56 – Updated: 2024-08-04 13:37
VLAI
Summary
Delta Industrial Automation CNCSoft ScreenEditor, Versions 1.01.23 and prior. Multiple out-of-bounds read vulnerabilities may be exploited by processing specially crafted project files, which may allow an attacker to read information.
Severity
No CVSS data available.
CWE
  • CWE-125 - OUT-OF-BOUNDS READ CWE-125
Assigner
Impacted products
Vendor Product Version
n/a Delta Industrial Automation CNCSoft ScreenEditor Affected: Versions 1.01.23 and prior
Show details on NVD website

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CVE-2020-16211 (GCVE-0-2020-16211)

Vulnerability from cvelistv5 – Published: 2020-08-06 18:21 – Updated: 2024-08-04 13:37
VLAI
Summary
Advantech WebAccess HMI Designer, Versions 2.1.9.31 and prior. An out-of-bounds read vulnerability may be exploited by processing specially crafted project files, which may allow an attacker to read information.
Severity
No CVSS data available.
CWE
  • CWE-125 - OUT-OF-BOUNDS READ CWE-125
Assigner
Impacted products
Vendor Product Version
n/a Advantech WebAccess HMI Designer Affected: Versions 2.1.9.31 and prior
Show details on NVD website

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CVE-2020-16219 (GCVE-0-2020-16219)

Vulnerability from cvelistv5 – Published: 2020-08-06 23:10 – Updated: 2024-08-04 13:37
VLAI
Summary
Delta Electronics TPEditor Versions 1.97 and prior. An out-of-bounds read may be exploited by processing specially crafted project files. Successful exploitation of this vulnerability may allow an attacker to read/modify information, execute arbitrary code, and/or crash the application.
Severity
No CVSS data available.
CWE
  • CWE-125 - OUT-OF-BOUNDS READ CWE-125
Assigner
Impacted products
Vendor Product Version
n/a Delta Electronics TPEditor Affected: TPEditor Versions 1.97 and prior
Show details on NVD website

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Mitigation ID: MIT-5

Phase: Implementation

Strategy: Input Validation

Description:

  • Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
  • When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
  • Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • To reduce the likelihood of introducing an out-of-bounds read, ensure that you validate and ensure correct calculations for any length argument, buffer size calculation, or offset. Be especially careful of relying on a sentinel (i.e. special character such as NUL) in untrusted inputs.
Mitigation

Phase: Architecture and Design

Strategy: Language Selection

Description:

  • Use a language that provides appropriate memory abstractions.
CAPEC-540: Overread Buffers

An adversary attacks a target by providing input that causes an application to read beyond the boundary of a defined buffer. This typically occurs when a value influencing where to start or stop reading is set to reflect positions outside of the valid memory location of the buffer. This type of attack may result in exposure of sensitive information, a system crash, or arbitrary code execution.

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