CWE-125
Out-of-bounds Read
The product reads data past the end, or before the beginning, of the intended buffer.
CVE-2021-40729 (GCVE-0-2021-40729)
Vulnerability from cvelistv5 – Published: 2021-10-15 14:21 – Updated: 2025-04-23 19:25
VLAI
Title
Adobe Acrobat Reader DC PDF Out-of-Bound Read Vulnerability Information Disclosure
Summary
Adobe Acrobat Reader DC version 21.007.20095 (and earlier), 21.007.20096 (and earlier), 20.004.30015 (and earlier), and 17.011.30202 (and earlier) is affected by a out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious PDF file.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-125 - Out-of-bounds Read (CWE-125)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/acrobat… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Acrobat Reader |
Affected:
unspecified , ≤ 21.007.20095
(custom)
Affected: unspecified , ≤ 21.007.20096 (custom) Affected: unspecified , ≤ 20.004.30015 (custom) Affected: unspecified , ≤ 17.011.30202 (custom) |
Date Public
2021-10-12 00:00
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CVE-2021-40766 (GCVE-0-2021-40766)
Vulnerability from cvelistv5 – Published: 2022-03-16 14:02 – Updated: 2025-04-23 18:51
VLAI
Title
Adobe Character Animator SVG File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability
Summary
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Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-125 - Out-of-bounds Read (CWE-125)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/charact… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Character Animator (Preview 4) |
Affected:
unspecified , ≤ 4.4
(custom)
Affected: unspecified , ≤ None (custom) |
Date Public
2021-10-26 00:00
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CVE-2021-40769 (GCVE-0-2021-40769)
Vulnerability from cvelistv5 – Published: 2022-03-16 14:03 – Updated: 2025-04-23 18:50
VLAI
Title
Adobe Character Animator SVG File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability
Summary
Adobe Character Animator version 4.4 (and earlier versions) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-125 - Out-of-bounds Read (CWE-125)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/charact… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Character Animator (Preview 4) |
Affected:
unspecified , ≤ 4.4
(custom)
Affected: unspecified , ≤ None (custom) |
Date Public
2021-10-26 00:00
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CVE-2021-40791 (GCVE-0-2021-40791)
Vulnerability from cvelistv5 – Published: 2023-09-07 12:54 – Updated: 2025-02-27 20:59
VLAI
Title
Adobe Premiere Pro JPEG File Parsing Out-Of-Bounds Read Information Disclosure Vulnerability
Summary
Adobe Premiere Pro versions 22.0 (and earlier) and 15.4.2 (and earlier) are affected by an out-of-bounds read vulnerability that could lead to disclosure of sensitive memory. An attacker could leverage this vulnerability to bypass mitigations such as ASLR. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Severity
5.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-125 - Out-of-bounds Read (CWE-125)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/premier… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Premiere Pro |
Affected:
0 , ≤ 15.4.2
(semver)
|
Date Public
2021-12-14 17:00
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CVE-2021-40795 (GCVE-0-2021-40795)
Vulnerability from cvelistv5 – Published: 2023-09-07 12:54 – Updated: 2025-02-27 21:00
VLAI
Title
Adobe Premiere Pro 3GP File Parsing Out-Of-Bounds Read Remote Code Execution Vulnerability
Summary
Adobe Premiere Pro versions 22.0 (and earlier) and 15.4.2 (and earlier) are affected by an out-of-bounds read vulnerability which could result in a read past the end of an allocated memory structure. An attacker could leverage this vulnerability to execute code in the context of the current user. Exploitation of this issue requires user interaction in that a victim must open a malicious file.
Severity
7.8 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
- CWE-125 - Out-of-bounds Read (CWE-125)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://helpx.adobe.com/security/products/premier… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Adobe | Premiere Pro |
Affected:
0 , ≤ 15.4.2
(semver)
|
Date Public
2021-12-14 17:00
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CVE-2021-4093 (GCVE-0-2021-4093)
Vulnerability from cvelistv5 – Published: 2022-02-18 17:50 – Updated: 2024-08-03 17:16
VLAI
Summary
A flaw was found in the KVM's AMD code for supporting the Secure Encrypted Virtualization-Encrypted State (SEV-ES). A KVM guest using SEV-ES can trigger out-of-bounds reads and writes in the host kernel via a malicious VMGEXIT for a string I/O instruction (for example, outs or ins) using the exit reason SVM_EXIT_IOIO. This issue results in a crash of the entire system or a potential guest-to-host escape scenario.
Severity
No CVSS data available.
CWE
- CWE-125 - (CWE-125|CWE-787)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=2028584 | x_refsource_MISC |
| https://bugs.chromium.org/p/project-zero/issues/d… | x_refsource_MISC |
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CVE-2021-41205 (GCVE-0-2021-41205)
Vulnerability from cvelistv5 – Published: 2021-11-05 20:10 – Updated: 2024-08-04 03:08
VLAI
Title
Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity
7.1 (High)
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/7… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.6.0, < 2.6.1
Affected: >= 2.5.0, < 2.5.2 Affected: < 2.4.4 |
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CVE-2021-41210 (GCVE-0-2021-41210)
Vulnerability from cvelistv5 – Published: 2021-11-05 20:10 – Updated: 2024-08-04 03:08
VLAI
Title
Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity
7.1 (High)
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/7… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.6.0, < 2.6.1
Affected: >= 2.5.0, < 2.5.2 Affected: < 2.4.4 |
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CVE-2021-41211 (GCVE-0-2021-41211)
Vulnerability from cvelistv5 – Published: 2021-11-05 20:15 – Updated: 2024-08-04 03:08
VLAI
Title
Heap OOB read in shape inference for `QuantizeV2`
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
Severity
7.1 (High)
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/a… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.6.0, < 2.6.1
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CVE-2021-41212 (GCVE-0-2021-41212)
Vulnerability from cvelistv5 – Published: 2021-11-05 20:15 – Updated: 2024-08-04 03:08
VLAI
Title
Heap OOB read in `tf.ragged.cross`
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Severity
7.1 (High)
CWE
- CWE-125 - Out-of-bounds Read
Assigner
References
2 references
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|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/f… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.6.0, < 2.6.1
Affected: >= 2.5.0, < 2.5.2 Affected: < 2.4.4 |
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"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2021-41212",
"datePublished": "2021-11-05T20:15:17.000Z",
"dateReserved": "2021-09-15T00:00:00.000Z",
"dateUpdated": "2024-08-04T03:08:31.357Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
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.