Common Weakness Enumeration
CWE-665
DiscouragedImproper Initialization
Abstraction: Class · Status: Draft
The product does not initialize or incorrectly initializes a resource, which might leave the resource in an unexpected state when it is accessed or used.
425 vulnerabilities reference this CWE, most recent first.
CVE-2021-33634 (GCVE-0-2021-33634)
Vulnerability from cvelistv5 – Published: 2023-10-29 07:51 – Updated: 2024-09-09 14:22
VLAI
EPSS
VEX
Title
Malicious image running containers may cause DoS attacks
Summary
iSulad uses the lcr+lxc runtime (default) to run malicious images, which can cause DOS.
Severity
6.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-665 - Improper Initialization
Assigner
References
Impacted products
Credits
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CVE-2021-29614 (GCVE-0-2021-29614)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:20 – Updated: 2024-08-03 22:11
VLAI
EPSS
VEX
Title
Interpreter crash from `tf.io.decode_raw`
Summary
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.io.decode_raw` produces incorrect results and crashes the Python interpreter when combining `fixed_length` and wider datatypes. The implementation of the padded version(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc) is buggy due to a confusion about pointer arithmetic rules. First, the code computes(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L61) the width of each output element by dividing the `fixed_length` value to the size of the type argument. The `fixed_length` argument is also used to determine the size needed for the output tensor(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L63-L79). This is followed by reencoding code(https://github.com/tensorflow/tensorflow/blob/1d8903e5b167ed0432077a3db6e462daf781d1fe/tensorflow/core/kernels/decode_padded_raw_op.cc#L85-L94). The erroneous code is the last line above: it is moving the `out_data` pointer by `fixed_length * sizeof(T)` bytes whereas it only copied at most `fixed_length` bytes from the input. This results in parts of the input not being decoded into the output. Furthermore, because the pointer advance is far wider than desired, this quickly leads to writing to outside the bounds of the backing data. This OOB write leads to interpreter crash in the reproducer mentioned here, but more severe attacks can be mounted too, given that this gadget allows writing to periodically placed locations in memory. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Severity
7.1 (High)
CWE
- CWE-665 - Improper Initialization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/6… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.1.4
Affected: >= 2.2.0, < 2.2.3 Affected: >= 2.3.0, < 2.3.3 Affected: >= 2.4.0, < 2.4.2 |
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CVE-2021-29613 (GCVE-0-2021-29613)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:20 – Updated: 2024-08-03 22:11
VLAI
EPSS
VEX
Title
Incomplete validation in `tf.raw_ops.CTCLoss`
Summary
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `tf.raw_ops.CTCLoss` allows an attacker to trigger an OOB read from heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick these commits on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Severity
6.3 (Medium)
CWE
- CWE-665 - Improper Initialization
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
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Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.1.4
Affected: >= 2.2.0, < 2.2.3 Affected: >= 2.3.0, < 2.3.3 Affected: >= 2.4.0, < 2.4.2 |
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CVE-2021-29611 (GCVE-0-2021-29611)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:20 – Updated: 2024-08-03 22:11
VLAI
EPSS
VEX
Title
Incomplete validation in `SparseReshape`
Summary
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions.
Severity
CWE
- CWE-665 - Improper Initialization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/1… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.3.3
Affected: >= 2.4.0, < 2.4.2 |
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CVE-2021-29610 (GCVE-0-2021-29610)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:20 – Updated: 2024-08-03 22:11
VLAI
EPSS
VEX
Title
Invalid validation in `QuantizeAndDequantizeV2`
Summary
TensorFlow is an end-to-end open source platform for machine learning. The validation in `tf.raw_ops.QuantizeAndDequantizeV2` allows invalid values for `axis` argument:. The validation(https://github.com/tensorflow/tensorflow/blob/eccb7ec454e6617738554a255d77f08e60ee0808/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L74-L77) uses `||` to mix two different conditions. If `axis_ < -1` the condition in `OP_REQUIRES` will still be true, but this value of `axis_` results in heap underflow. This allows attackers to read/write to other data on the heap. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Severity
CWE
- CWE-665 - Improper Initialization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/c… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.1.4
Affected: >= 2.2.0, < 2.2.3 Affected: >= 2.3.0, < 2.3.3 Affected: >= 2.4.0, < 2.4.2 |
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CVE-2021-29609 (GCVE-0-2021-29609)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:20 – Updated: 2024-08-03 22:11
VLAI
EPSS
VEX
Title
Incomplete validation in `SparseAdd`
Summary
TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseAdd` results in allowing attackers to exploit undefined behavior (dereferencing null pointers) as well as write outside of bounds of heap allocated data. The implementation(https://github.com/tensorflow/tensorflow/blob/656e7673b14acd7835dc778867f84916c6d1cac2/tensorflow/core/kernels/sparse_add_op.cc) has a large set of validation for the two sparse tensor inputs (6 tensors in total), but does not validate that the tensors are not empty or that the second dimension of `*_indices` matches the size of corresponding `*_shape`. This allows attackers to send tensor triples that represent invalid sparse tensors to abuse code assumptions that are not protected by validation. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
Severity
5.3 (Medium)
CWE
- CWE-665 - Improper Initialization
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/4… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/commit/6… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.1.4
Affected: >= 2.2.0, < 2.2.3 Affected: >= 2.3.0, < 2.3.3 Affected: >= 2.4.0, < 2.4.2 |
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CVE-2021-26326 (GCVE-0-2021-26326)
Vulnerability from cvelistv5 – Published: 2021-11-16 17:52 – Updated: 2024-09-16 17:53
VLAI
EPSS
VEX
Summary
Failure to validate VM_HSAVE_PA during SNP_INIT may result in a loss of memory integrity.
Severity
No CVSS data available.
CWE
- CWE-665 - Improper Initialization
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.amd.com/en/corporate/product-security… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| AMD | 3rd Gen AMD EPYC™ |
Affected:
unspecified , < MilanPI-SP3_1.0.0.4
(custom)
|
Date Public
2021-11-09 00:00
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CVE-2021-26312 (GCVE-0-2021-26312)
Vulnerability from cvelistv5 – Published: 2021-11-16 17:55 – Updated: 2024-09-16 17:54
VLAI
EPSS
VEX
Summary
Failure to flush the Translation Lookaside Buffer (TLB) of the I/O memory management unit (IOMMU) may lead an IO device to write to memory it should not be able to access, resulting in a potential loss of integrity.
Severity
No CVSS data available.
CWE
- CWE-665 - Improper Initialization
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.amd.com/en/corporate/product-security… | x_refsource_MISC |
| https://www.amd.com/en/corporate/product-security… | x_refsource_MISC |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| AMD | EPYC™ Processors |
Affected:
various
|
|
| AMD | Ryzen™ Series |
Affected:
various
|
|
| AMD | Athlon™ Series |
Affected:
various
|
Date Public
2022-05-10 00:00
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CVE-2021-22283 (GCVE-0-2021-22283)
Vulnerability from cvelistv5 – Published: 2023-02-28 04:21 – Updated: 2025-03-07 18:12
VLAI
EPSS
VEX
Title
MMS File Transfer Vulnerability impact on Distribution Automation products
Summary
Improper Initialization vulnerability in ABB Relion protection relays - 611 series, ABB Relion protection relays - 615 series IEC 4.0 FP1, ABB Relion protection relays - 615 series CN 4.0 FP1, ABB Relion protection relays - 615 series IEC 5.0, ABB Relion protection relays - 615 series IEC 5.0 FP1, ABB Relion protection relays - 620 series IEC/CN 2.0, ABB Relion protection relays - 620 series IEC/CN 2.0 FP1, ABB Relion protection relays - REX640 PCL1, ABB Relion protection relays - REX640 PCL2, ABB Relion protection relays - REX640 PCL3, ABB Relion protection relays - RER615, ABB Remote Monitoring and Control - REC615, ABB Merging Unit- SMU615 allows Communication Channel Manipulation.This issue affects Relion protection relays - 611 series: from 1.0.0 before 2.0.3; Relion protection relays - 615 series IEC 4.0 FP1: from 4.1.0 before 4.1.9; Relion protection relays - 615 series CN 4.0 FP1: from 4.1.0 before 4.1.8; Relion protection relays - 615 series IEC 5.0: from 5.0.0 before 5.0.12; Relion protection relays - 615 series IEC 5.0 FP1: from 5.1.0 before 5.1.20; Relion protection relays - 620 series IEC/CN 2.0: from 2.0.0 before 2.0.11; Relion protection relays - 620 series IEC/CN 2.0 FP1: from 2.1.0 before 2.1.15; Relion protection relays - REX640 PCL1: from 1.0.0 before 1.0.8; Relion protection relays - REX640 PCL2: from 1.1.0 before 1.1.4; Relion protection relays - REX640 PCL3: from 1.2.0 before 1.2.1; Relion protection relays - RER615: from 2.0.0 before 2.0.3; Remote Monitoring and Control - REC615: from 1.0.0 before 2.0.3; Merging Unit- SMU615: from 1.0.0 before 1.0.2.
Severity
6.2 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-665 - Improper Initialization
Assigner
References
1 reference
Impacted products
13 products
Date Public
2022-12-18 18:30
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CVE-2021-20317 (GCVE-0-2021-20317)
Vulnerability from cvelistv5 – Published: 2021-09-27 10:34 – Updated: 2024-08-03 17:37
VLAI
EPSS
VEX
Summary
A flaw was found in the Linux kernel. A corrupted timer tree caused the task wakeup to be missing in the timerqueue_add function in lib/timerqueue.c. This flaw allows a local attacker with special user privileges to cause a denial of service, slowing and eventually stopping the system while running OSP.
Severity
No CVSS data available.
CWE
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://git.kernel.org/pub/scm/linux/kernel/git/t… | x_refsource_MISC |
| https://bugzilla.redhat.com/show_bug.cgi?id=2005258 | x_refsource_MISC |
| https://lists.debian.org/debian-lts-announce/2021… | mailing-listx_refsource_MLIST |
| https://lists.debian.org/debian-lts-announce/2022… | mailing-listx_refsource_MLIST |
| https://www.debian.org/security/2022/dsa-5096 | vendor-advisoryx_refsource_DEBIAN |
| https://cert-portal.siemens.com/productcert/pdf/s… | x_refsource_CONFIRM |
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Mitigation MIT-3
Requirements
Strategy: Language Selection
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- For example, in Java, if the programmer does not explicitly initialize a variable, then the code could produce a compile-time error (if the variable is local) or automatically initialize the variable to the default value for the variable's type. In Perl, if explicit initialization is not performed, then a default value of undef is assigned, which is interpreted as 0, false, or an equivalent value depending on the context in which the variable is accessed.
Mitigation
Architecture and Design
Identify all variables and data stores that receive information from external sources, and apply input validation to make sure that they are only initialized to expected values.
Mitigation
Implementation
Explicitly initialize all your variables and other data stores, either during declaration or just before the first usage.
Mitigation
Implementation
Pay close attention to complex conditionals that affect initialization, since some conditions might not perform the initialization.
Mitigation
Implementation
Avoid race conditions (CWE-362) during initialization routines.
Mitigation
Build and Compilation
Run or compile your product with settings that generate warnings about uninitialized variables or data.
CAPEC-26: Leveraging Race Conditions
The adversary targets a race condition occurring when multiple processes access and manipulate the same resource concurrently, and the outcome of the execution depends on the particular order in which the access takes place. The adversary can leverage a race condition by "running the race", modifying the resource and modifying the normal execution flow. For instance, a race condition can occur while accessing a file: the adversary can trick the system by replacing the original file with their version and cause the system to read the malicious file.
CAPEC-29: Leveraging Time-of-Check and Time-of-Use (TOCTOU) Race Conditions
This attack targets a race condition occurring between the time of check (state) for a resource and the time of use of a resource. A typical example is file access. The adversary can leverage a file access race condition by "running the race", meaning that they would modify the resource between the first time the target program accesses the file and the time the target program uses the file. During that period of time, the adversary could replace or modify the file, causing the application to behave unexpectedly.