CWE-681
Incorrect Conversion between Numeric Types
When converting from one data type to another, such as long to integer, data can be omitted or translated in a way that produces unexpected values. If the resulting values are used in a sensitive context, then dangerous behaviors may occur.
CVE-2019-10203 (GCVE-0-2019-10203)
Vulnerability from cvelistv5
Published
2019-11-22 12:01
Modified
2024-08-04 22:17
Severity ?
VLAI Severity ?
EPSS score ?
CWE
Summary
PowerDNS Authoritative daemon , pdns versions 4.0.x before 4.0.9, 4.1.x before 4.1.11, exiting when encountering a serial between 2^31 and 2^32-1 while trying to notify a slave leads to DoS.
References
| ► | URL | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
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CVE-2019-14842 (GCVE-0-2019-14842)
Vulnerability from cvelistv5
Published
2019-11-26 15:01
Modified
2024-08-05 00:26
Severity ?
VLAI Severity ?
EPSS score ?
CWE
Summary
Structured reply is a feature of the newstyle NBD protocol allowing the server to send a reply in chunks. A bounds check which was supposed to test for chunk offsets smaller than the beginning of the request did not work because of signed/unsigned confusion. If one of these chunks contains a negative offset then data under control of the server is written to memory before the read buffer supplied by the client. If the read buffer is located on the stack then this allows the stack return address from nbd_pread() to be trivially modified, allowing arbitrary code execution under the control of the server. If the buffer is located on the heap then other memory objects before the buffer can be overwritten, which again would usually lead to arbitrary code execution.
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CVE-2020-15225 (GCVE-0-2020-15225)
Vulnerability from cvelistv5
Published
2021-04-29 00:00
Modified
2024-08-04 13:08
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
django-filter is a generic system for filtering Django QuerySets based on user selections. In django-filter before version 2.4.0, automatically generated `NumberFilter` instances, whose value was later converted to an integer, were subject to potential DoS from maliciously input using exponential format with sufficiently large exponents. Version 2.4.0+ applies a `MaxValueValidator` with a a default `limit_value` of 1e50 to the form field used by `NumberFilter` instances. In addition, `NumberFilter` implements the new `get_max_validator()` which should return a configured validator instance to customise the limit, or else `None` to disable the additional validation. Users may manually apply an equivalent validator if they are not able to upgrade.
References
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| carltongibson | django-filter |
Version: < 2.4.0 |
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CVE-2020-28588 (GCVE-0-2020-28588)
Vulnerability from cvelistv5
Published
2021-05-10 18:54
Modified
2024-08-04 16:40
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
An information disclosure vulnerability exists in the /proc/pid/syscall functionality of Linux Kernel 5.1 Stable and 5.4.66. More specifically, this issue has been introduced in v5.1-rc4 (commit 631b7abacd02b88f4b0795c08b54ad4fc3e7c7c0) and is still present in v5.10-rc4, so it’s likely that all versions in between are affected. An attacker can read /proc/pid/syscall to trigger this vulnerability, which leads to the kernel leaking memory contents.
References
| ► | URL | Tags | |||
|---|---|---|---|---|---|
|
|||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| n/a | Linux Kernel |
Version: Linux Kernel v5.10-rc4,Linux Kernel v5.4.66,Linux Kernel v5.9.8 |
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CVE-2020-4032 (GCVE-0-2020-4032)
Vulnerability from cvelistv5
Published
2020-06-22 00:00
Modified
2024-08-04 07:52
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
In FreeRDP before version 2.1.2, there is an integer casting vulnerability in update_recv_secondary_order. All clients with +glyph-cache /relax-order-checks are affected. This is fixed in version 2.1.2.
References
| ► | URL | Tags | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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CVE-2021-27478 (GCVE-0-2021-27478)
Vulnerability from cvelistv5
Published
2022-05-12 19:17
Modified
2025-04-16 16:22
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
A specifically crafted packet sent by an attacker to EIPStackGroup OpENer EtherNet/IP commits and versions prior to Feb 10, 2021 may cause a denial-of-service condition.
References
| ► | URL | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| EIPStackGroup | OpENer EtherNet/IP |
Version: unspecified < Feb 10, 2021 |
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CVE-2021-29539 (GCVE-0-2021-29539)
Vulnerability from cvelistv5
Published
2021-05-14 19:11
Modified
2024-08-03 22:11
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| tensorflow | tensorflow |
Version: < 2.1.4 Version: >= 2.2.0, < 2.2.3 Version: >= 2.3.0, < 2.3.3 Version: >= 2.4.0, < 2.4.2 |
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CVE-2021-3444 (GCVE-0-2021-3444)
Vulnerability from cvelistv5
Published
2021-03-23 17:45
Modified
2024-09-16 17:27
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
The bpf verifier in the Linux kernel did not properly handle mod32 destination register truncation when the source register was known to be 0. A local attacker with the ability to load bpf programs could use this gain out-of-bounds reads in kernel memory leading to information disclosure (kernel memory), and possibly out-of-bounds writes that could potentially lead to code execution. This issue was addressed in the upstream kernel in commit 9b00f1b78809 ("bpf: Fix truncation handling for mod32 dst reg wrt zero") and in Linux stable kernels 5.11.2, 5.10.19, and 5.4.101.
References
| ► | URL | Tags | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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Impacted products
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CVE-2021-37645 (GCVE-0-2021-37645)
Vulnerability from cvelistv5
Published
2021-08-12 21:05
Modified
2024-08-04 01:23
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L126) uses the `axis` value as the size argument to `absl::InlinedVector` constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit 96f364a1ca3009f98980021c4b32be5fdcca33a1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, and TensorFlow 2.4.3, as these are also affected and still in supported range.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| tensorflow | tensorflow |
Version: >= 2.5.0, < 2.5.1 Version: < 2.4.3 |
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CVE-2021-37646 (GCVE-0-2021-37646)
Vulnerability from cvelistv5
Published
2021-08-12 21:10
Modified
2024-08-04 01:23
Severity ?
VLAI Severity ?
EPSS score ?
CWE
- CWE-681 - Incorrect Conversion between Numeric Types
Summary
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
References
| ► | URL | Tags |
|---|---|---|
Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| tensorflow | tensorflow |
Version: >= 2.5.0, < 2.5.1 Version: >= 2.4.0, < 2.4.3 Version: < 2.3.4 |
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Mitigation
Phase: Implementation
Description:
- Avoid making conversion between numeric types. Always check for the allowed ranges.
No CAPEC attack patterns related to this CWE.