Common Weakness Enumeration
CWE-617
AllowedReachable Assertion
Abstraction: Base · Status: Draft
The product contains an assert() or similar statement that can be triggered by an attacker, which leads to an application exit or other behavior that is more severe than necessary.
1064 vulnerabilities reference this CWE, most recent first.
CVE-2022-35969 (GCVE-0-2022-35969)
Vulnerability from cvelistv5 – Published: 2022-09-16 20:45 – Updated: 2025-04-23 17:03
VLAI
EPSS
VEX
Title
`CHECK` fail in `Conv2DBackpropInput` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:59 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/5… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.7.2
Affected: >= 2.8.0, < 2.8.1 Affected: >= 2.9.0, < 2.9.1 |
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CVE-2022-35968 (GCVE-0-2022-35968)
Vulnerability from cvelistv5 – Published: 2022-09-16 20:40 – Updated: 2025-04-23 17:03
VLAI
EPSS
VEX
Title
`CHECK` fail in `AvgPoolGrad` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:59 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/3… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.7.2
Affected: >= 2.8.0, < 2.8.1 Affected: >= 2.9.0, < 2.9.1 |
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CVE-2022-35963 (GCVE-0-2022-35963)
Vulnerability from cvelistv5 – Published: 2022-09-16 20:10 – Updated: 2025-04-23 17:03
VLAI
EPSS
VEX
Title
`CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:59 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
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| 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:
< 2.7.2
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CVE-2022-35960 (GCVE-0-2022-35960)
Vulnerability from cvelistv5 – Published: 2022-09-16 20:00 – Updated: 2025-04-23 17:03
VLAI
EPSS
VEX
Title
`CHECK` failure in `TensorListReserve` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:59 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/b… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/c8b… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.7.2
Affected: >= 2.8.0, < 2.8.1 Affected: >= 2.9.0, < 2.9.1 |
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CVE-2022-35959 (GCVE-0-2022-35959)
Vulnerability from cvelistv5 – Published: 2022-09-16 19:55 – Updated: 2025-04-23 17:03
VLAI
EPSS
VEX
Title
`CHECK` failures in `AvgPool3DGrad` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:59 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/9… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.7.2
Affected: >= 2.8.0, < 2.8.1 Affected: >= 2.9.0, < 2.9.1 |
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CVE-2022-35952 (GCVE-0-2022-35952)
Vulnerability from cvelistv5 – Published: 2022-09-16 19:50 – Updated: 2025-04-23 17:03
VLAI
EPSS
VEX
Title
`CHECK` failures in `UnbatchGradOp` in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 14:00 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/5… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/769… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.7.2
Affected: >= 2.8.0, < 2.8.1 Affected: >= 2.9.0, < 2.9.1 |
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CVE-2022-35941 (GCVE-0-2022-35941)
Vulnerability from cvelistv5 – Published: 2022-09-16 19:45 – Updated: 2025-04-23 17:04
VLAI
EPSS
VEX
Title
`CHECK` failure in `AvgPoolOp` in Tensorflow
Summary
TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds to this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 14:00 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
3 references
| URL | Tags |
|---|---|
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| https://github.com/tensorflow/tensorflow/commit/3… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/8d7… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
< 2.7.2
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CVE-2022-35935 (GCVE-0-2022-35935)
Vulnerability from cvelistv5 – Published: 2022-09-16 19:35 – Updated: 2025-04-23 17:04
VLAI
EPSS
VEX
Title
`CHECK` failure in `SobolSample` via missing validation in TensorFlow
Summary
TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar. This issue has been patched in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 14:00 UTC
CWE
- CWE-617 - Reachable Assertion
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:
< 2.7.2
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CVE-2022-35934 (GCVE-0-2022-35934)
Vulnerability from cvelistv5 – Published: 2022-09-16 19:30 – Updated: 2025-04-23 17:04
VLAI
EPSS
VEX
Title
`CHECK` failure in tf.reshape in Tensorflow
Summary
TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Severity
5.9 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 14:00 UTC
CWE
- CWE-617 - Reachable Assertion
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:
< 2.7.2
Affected: >= 2.8.0, < 2.8.1 Affected: >= 2.9.0, < 2.9.1 |
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CVE-2022-34144 (GCVE-0-2022-34144)
Vulnerability from cvelistv5 – Published: 2023-05-02 05:08 – Updated: 2024-08-03 08:16
VLAI
EPSS
VEX
Title
Reachable assertion in Modem
Summary
Transient DOS due to reachable assertion in Modem during OSI decode scheduling.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-07-05 20:11 UTC
CWE
- CWE-617 - Reachable Assertion
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Qualcomm, Inc. | Snapdragon |
Affected:
315 5G IoT Modem
Affected: AR8035 Affected: FastConnect 6200 Affected: FastConnect 6700 Affected: FastConnect 6800 Affected: FastConnect 6900 Affected: FastConnect 7800 Affected: QCA6391 Affected: QCA6574A Affected: QCA6574AU Affected: QCA6595AU Affected: QCA6696 Affected: QCA6698AQ Affected: QCA8081 Affected: QCA8337 Affected: QCM4490 Affected: QCM6490 Affected: QCN6024 Affected: QCN9024 Affected: QCS4490 Affected: QCS6490 Affected: SD888 Affected: SDX55 Affected: SDX57M Affected: SM4450 Affected: SM7250P Affected: SM7315 Affected: SM7325P Affected: Snapdragon 4 Gen 1 Mobile Platform Affected: Snapdragon 480 5G Mobile Platform Affected: Snapdragon 480+ 5G Mobile Platform (SM4350-AC) Affected: Snapdragon 690 5G Mobile Platform Affected: Snapdragon 695 5G Mobile Platform Affected: Snapdragon 765 5G Mobile Platform (SM7250-AA) Affected: Snapdragon 765G 5G Mobile Platform (SM7250-AB) Affected: Snapdragon 768G 5G Mobile Platform (SM7250-AC) Affected: Snapdragon 778G 5G Mobile Platform Affected: Snapdragon 778G+ 5G Mobile Platform (SM7325-AE) Affected: Snapdragon 780G 5G Mobile Platform Affected: Snapdragon 782G Mobile Platform (SM7325-AF) Affected: Snapdragon 7c+ Gen 3 Compute Affected: Snapdragon 8 Gen 1 Mobile Platform Affected: Snapdragon 8+ Gen 1 Mobile Platform Affected: Snapdragon 865 5G Mobile Platform Affected: Snapdragon 865+ 5G Mobile Platform (SM8250-AB) Affected: Snapdragon 870 5G Mobile Platform (SM8250-AC) Affected: Snapdragon 888 5G Mobile Platform Affected: Snapdragon 888+ 5G Mobile Platform (SM8350-AC) Affected: Snapdragon Auto 5G Modem-RF Affected: Snapdragon X55 5G Modem-RF System Affected: Snapdragon X65 5G Modem-RF System Affected: Snapdragon X70 Modem-RF System Affected: WCD9341 Affected: WCD9360 Affected: WCD9370 Affected: WCD9375 Affected: WCD9380 Affected: WCD9385 Affected: WCN3950 Affected: WCN3988 Affected: WCN6740 Affected: WSA8810 Affected: WSA8815 Affected: WSA8830 Affected: WSA8832 Affected: WSA8835 |
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{
"status": "affected",
"version": "Snapdragon 8+ Gen 1 Mobile Platform"
},
{
"status": "affected",
"version": "Snapdragon 865 5G Mobile Platform"
},
{
"status": "affected",
"version": "Snapdragon 865+ 5G Mobile Platform (SM8250-AB)"
},
{
"status": "affected",
"version": "Snapdragon 870 5G Mobile Platform (SM8250-AC)"
},
{
"status": "affected",
"version": "Snapdragon 888 5G Mobile Platform"
},
{
"status": "affected",
"version": "Snapdragon 888+ 5G Mobile Platform (SM8350-AC)"
},
{
"status": "affected",
"version": "Snapdragon Auto 5G Modem-RF"
},
{
"status": "affected",
"version": "Snapdragon X55 5G Modem-RF System"
},
{
"status": "affected",
"version": "Snapdragon X65 5G Modem-RF System"
},
{
"status": "affected",
"version": "Snapdragon X70 Modem-RF System"
},
{
"status": "affected",
"version": "WCD9341"
},
{
"status": "affected",
"version": "WCD9360"
},
{
"status": "affected",
"version": "WCD9370"
},
{
"status": "affected",
"version": "WCD9375"
},
{
"status": "affected",
"version": "WCD9380"
},
{
"status": "affected",
"version": "WCD9385"
},
{
"status": "affected",
"version": "WCN3950"
},
{
"status": "affected",
"version": "WCN3988"
},
{
"status": "affected",
"version": "WCN6740"
},
{
"status": "affected",
"version": "WSA8810"
},
{
"status": "affected",
"version": "WSA8815"
},
{
"status": "affected",
"version": "WSA8830"
},
{
"status": "affected",
"version": "WSA8832"
},
{
"status": "affected",
"version": "WSA8835"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Transient DOS due to reachable assertion in Modem during OSI decode scheduling."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-617",
"description": "CWE-617 Reachable Assertion",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2024-04-12T16:27:44.073Z",
"orgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"shortName": "qualcomm"
},
"references": [
{
"url": "https://www.qualcomm.com/company/product-security/bulletins/may-2023-bulletin"
}
],
"title": "Reachable assertion in Modem"
}
},
"cveMetadata": {
"assignerOrgId": "2cfc7d3e-20d3-47ac-8db7-1b7285aff15f",
"assignerShortName": "qualcomm",
"cveId": "CVE-2022-34144",
"datePublished": "2023-05-02T05:08:49.075Z",
"dateReserved": "2022-06-20T05:51:02.535Z",
"dateUpdated": "2024-08-03T08:16:17.003Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
Mitigation
Implementation
Make sensitive open/close operation non reachable by directly user-controlled data (e.g. open/close resources)
Mitigation
Implementation
Strategy: Input Validation
Perform input validation on user data.
No CAPEC attack patterns related to this CWE.