CWE-754
Improper Check for Unusual or Exceptional Conditions
The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.
CVE-2021-25481 (GCVE-0-2021-25481)
Vulnerability from cvelistv5 – Published: 2021-10-06 17:09 – Updated: 2024-08-03 20:03
VLAI
Summary
An improper error handling in Exynos CP booting driver prior to SMR Oct-2021 Release 1 allows local attackers to bypass a Secure Memory Protector of Exynos CP Memory.
Severity
6.4 (Medium)
CWE
- CWE-754 - Improper Check for Unusual or Exceptional Conditions
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://security.samsungmobile.com/securityUpdate… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Samsung Mobile | Samsung Mobile Devices |
Affected:
O(8.1), P(9.0), Q(10.0), R(11.0) , < SMR Oct-2021 Release 1
(custom)
|
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CVE-2021-29531 (GCVE-0-2021-29531)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:12 – Updated: 2024-08-03 22:11
VLAI
Title
CHECK-fail in tf.raw_ops.EncodePng
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. 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-754 - Improper Check for Unusual or Exceptional Conditions
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/2… | 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-2021-29533 (GCVE-0-2021-29533)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:12 – Updated: 2024-08-03 22:11
VLAI
Title
CHECK-fail in DrawBoundingBoxes
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK` failure by passing an empty image to `tf.raw_ops.DrawBoundingBoxes`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L148-L165) uses `CHECK_*` assertions instead of `OP_REQUIRES` to validate user controlled inputs. Whereas `OP_REQUIRES` allows returning an error condition back to the user, the `CHECK_*` macros result in a crash if the condition is false, similar to `assert`. In this case, `height` is 0 from the `images` input. This results in `max_box_row_clamp` being negative and the assertion being falsified, followed by aborting program execution. 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-754 - Improper Check for Unusual or Exceptional Conditions
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/b… | 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-2021-29534 (GCVE-0-2021-29534)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:11 – Updated: 2024-08-03 22:11
VLAI
Title
CHECK-fail in SparseConcat
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.SparseConcat`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b432a38fe0e1b4b904a6c222cbce794c39703e87/tensorflow/core/kernels/sparse_concat_op.cc#L76) takes the values specified in `shapes[0]` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. 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-754 - Improper Check for Unusual or Exceptional Conditions
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-2021-29544 (GCVE-0-2021-29544)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:11 – Updated: 2024-10-31 20:41
VLAI
Title
CHECK-fail in `QuantizeAndDequantizeV4Grad`
Summary
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`. However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
Severity
CWE
- CWE-754 - Improper Check for Unusual or Exceptional Conditions
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/security… | x_refsource_CONFIRM |
| https://github.com/tensorflow/tensorflow/commit/2… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/950… | x_refsource_MISC |
| https://github.com/tensorflow/tensorflow/blob/950… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| tensorflow | tensorflow |
Affected:
>= 2.4.0, < 2.4.2
|
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CVE-2021-29607 (GCVE-0-2021-29607)
Vulnerability from cvelistv5 – Published: 2021-05-14 19:21 – Updated: 2024-08-03 22:11
VLAI
Title
Incomplete validation in `SparseSparseMinimum`
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_sparse_binary_op_shared.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-754 - Improper Check for Unusual or Exceptional Conditions
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/tensorflow/tensorflow/commit/b… | x_refsource_MISC |
| 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:
< 2.1.4
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-2021-31351 (GCVE-0-2021-31351)
Vulnerability from cvelistv5 – Published: 2021-10-19 18:16 – Updated: 2024-09-17 01:26
VLAI
Title
Junos OS: MX Series: Receipt of specific packet on MS-MPC/MS-MIC causes line card reset
Summary
An Improper Check for Unusual or Exceptional Conditions in packet processing on the MS-MPC/MS-MIC utilized by Juniper Networks Junos OS allows a malicious attacker to send a specific packet, triggering the MS-MPC/MS-MIC to reset, causing a Denial of Service (DoS). Continued receipt and processing of this packet will create a sustained Denial of Service (DoS) condition. This issue only affects specific versions of Juniper Networks Junos OS on MX Series: 17.3R3-S11; 17.4R2-S13; 17.4R3 prior to 17.4R3-S5; 18.1R3-S12; 18.2R2-S8, 18.2R3-S7, 18.2R3-S8; 18.3R3-S4; 18.4R3-S7; 19.1R3-S4, 19.1R3-S5; 19.2R1-S6; 19.3R3-S2; 19.4R2-S4, 19.4R2-S5; 19.4R3-S2; 20.1R2-S1; 20.2R2-S2, 20.2R2-S3, 20.2R3; 20.3R2, 20.3R2-S1; 20.4R1, 20.4R1-S1, 20.4R2; 21.1R1; This issue does not affect any version of Juniper Networks Junos OS prior to 15.1X49-D240;
Severity
7.5 (High)
CWE
- CWE-754 - Improper Check for Unusual or Exceptional Conditions
- Denial of Service (DoS)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA11216 | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Juniper Networks | Junos OS |
Unaffected:
unspecified , < 15.1
(custom)
Unaffected: 17.3 , < 17.3R3-S11 (custom) Unaffected: 17.4R3 , < 17.4* (custom) |
|
| Juniper Networks | Junos OS |
Affected:
17.3R3-S11
Affected: 18.1R3-S12 Affected: 18.3R3-S4 Affected: 18.4R3-S7 Affected: 19.1R3-S4, 19.1R3-S5 Affected: 19.2R1-S6 Affected: 19.3R3-S2 Affected: 19.4R3-S2 Affected: 20.1R2-S1 Affected: 20.2R3 Affected: 20.3R2 Affected: 17.4R2-S13 , < 17.4* (custom) Affected: 18.2R2-S8, 18.2R3-S7 , < 18.2* (custom) Affected: 18.4R1-S8, 18.4R2-S7 , < 18.4* (custom) Affected: 19.4R2-S4 , < 19.4* (custom) Affected: 20.2R2-S2 , < 20.2* (custom) Affected: 20.3R1-S2 , < 20.3* (custom) Affected: 20.4 , < 20.4R2-S1, 20.4R3 (custom) Affected: 21.1 , < 21.1R1-S1, 21.1R2 (custom) |
Date Public
2021-10-13 00:00
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"datePublished": "2021-10-19T18:16:31.714Z",
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CVE-2021-31361 (GCVE-0-2021-31361)
Vulnerability from cvelistv5 – Published: 2021-10-19 18:16 – Updated: 2024-09-17 03:44
VLAI
Title
Junos OS: QFX Series and PTX Series: FPC resource usage increases when certain packets are processed which are being VXLAN encapsulated
Summary
An Improper Check for Unusual or Exceptional Conditions vulnerability combined with Improper Handling of Exceptional Conditions in Juniper Networks Junos OS on QFX Series and PTX Series allows an unauthenticated network based attacker to cause increased FPC CPU utilization by sending specific IP packets which are being VXLAN encapsulated leading to a partial Denial of Service (DoS). Continued receipted of these specific traffic will create a sustained Denial of Service (DoS) condition. This issue affects: Juniper Networks Junos OS on QFX Series: All versions prior to 17.3R3-S11; 17.4 versions prior to 17.4R2-S13, 17.4R3-S4; 18.1 versions prior to 18.1R3-S12; 18.2 versions prior to 18.2R2-S8, 18.2R3-S7; 18.3 versions prior to 18.3R3-S4; 18.4 versions prior to 18.4R1-S8, 18.4R2-S7, 18.4R3-S7; 19.1 versions prior to 19.1R1-S6, 19.1R2-S2, 19.1R3-S4; 19.2 versions prior to 19.2R1-S6, 19.2R3-S2; 19.3 versions prior to 19.3R3-S1; 19.4 versions prior to 19.4R2-S3, 19.4R3-S1; 20.1 versions prior to 20.1R2, 20.1R3; 20.2 versions prior to 20.2R2, 20.2R3; 20.3 versions prior to 20.3R1-S1, 20.3R2. Juniper Networks Junos OS on PTX Series: All versions prior to 18.4R3-S9; 19.1 versions prior to 19.1R3-S6; 19.2 versions prior to 19.2R1-S7, 19.2R3-S3; 19.3 versions prior to 19.3R2-S6, 19.3R3-S3; 19.4 versions prior to 19.4R1-S4, 19.4R3-S5; 20.1 versions prior to 20.1R2-S2, 20.1R3; 20.2 versions prior to 20.2R3-S1; 20.3 versions prior to 20.3R2-S1, 20.3R3; 20.4 versions prior to 20.4R2-S1, 20.4R3; 21.1 versions prior to 21.1R1-S1, 21.1R2.
Severity
5.3 (Medium)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA11223 | x_refsource_CONFIRM |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
unspecified , < 17.3R3-S11
(custom)
Affected: 17.4 , < 17.4R2-S13, 17.4R3-S4 (custom) Affected: 18.1 , < 18.1R3-S12 (custom) Affected: 18.2 , < 18.2R2-S8, 18.2R3-S7 (custom) Affected: 18.3 , < 18.3R3-S4 (custom) Affected: 18.4 , < 18.4R1-S8, 18.4R2-S7, 18.4R3-S7 (custom) Affected: 19.1 , < 19.1R1-S6, 19.1R2-S2, 19.1R3-S4 (custom) Affected: 19.2 , < 19.2R1-S6, 19.2R3-S2 (custom) Affected: 19.3 , < 19.3R3-S1 (custom) Affected: 19.4 , < 19.4R2-S3, 19.4R3-S1 (custom) Affected: 20.1 , < 20.1R2, 20.1R3 (custom) Affected: 20.2 , < 20.2R2, 20.2R3 (custom) Affected: 20.3 , < 20.3R1-S1, 20.3R2 (custom) |
|
| Juniper Networks | Junos OS |
Affected:
unspecified , < 18.4R3-S9
(custom)
Affected: 19.1 , < 19.1R3-S6 (custom) Affected: 19.2 , < 19.2R1-S7, 19.2R3-S3 (custom) Affected: 19.3 , < 19.3R2-S6, 19.3R3-S3 (custom) Affected: 19.4 , < 19.4R1-S4, 19.4R3-S5 (custom) Affected: 20.1 , < 20.1R2-S2, 20.1R3 (custom) Affected: 20.2 , < 20.2R3-S1 (custom) Affected: 20.3 , < 20.3R2-S1, 20.3R3 (custom) Affected: 20.4 , < 20.4R2-S1, 20.4R3 (custom) Affected: 21.1 , < 21.1R1-S1, 21.1R2 (custom) |
Date Public
2021-10-13 00:00
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CVE-2021-31364 (GCVE-0-2021-31364)
Vulnerability from cvelistv5 – Published: 2021-10-19 18:16 – Updated: 2024-09-17 01:56
VLAI
Title
Junos OS: SRX Series: The flowd process will crash if log session-close is configured and specific traffic is received
Summary
An Improper Check for Unusual or Exceptional Conditions vulnerability combined with a Race Condition in the flow daemon (flowd) of Juniper Networks Junos OS on SRX300 Series, SRX500 Series, SRX1500, and SRX5000 Series with SPC2 allows an unauthenticated network based attacker sending specific traffic to cause a crash of the flowd/srxpfe process, responsible for traffic forwarding in SRX, which will cause a Denial of Service (DoS). Continued receipt and processing of this specific traffic will create a sustained Denial of Service (DoS) condition. This issue can only occur when specific packets are trying to create the same session and logging for session-close is configured as a policy action. Affected platforms are: SRX300 Series, SRX500 Series, SRX1500, and SRX5000 Series with SPC2. Not affected platforms are: SRX4000 Series, SRX5000 Series with SPC3, and vSRX Series. This issue affects Juniper Networks Junos OS SRX300 Series, SRX500 Series, SRX1500, and SRX5000 Series with SPC2: All versions prior to 17.4R3-S5; 18.3 versions prior to 18.3R3-S5; 18.4 versions prior to 18.4R3-S9; 19.1 versions prior to 19.1R3-S6; 19.2 versions prior to 19.2R1-S7, 19.2R3-S2; 19.3 versions prior to 19.3R2-S6, 19.3R3-S2; 19.4 versions prior to 19.4R1-S4, 19.4R3-S3; 20.1 versions prior to 20.1R2-S2, 20.1R3; 20.2 versions prior to 20.2R3; 20.3 versions prior to 20.3R2-S1, 20.3R3; 20.4 versions prior to 20.4R2.
Severity
5.9 (Medium)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA11226 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
unspecified , < 17.4R3-S5
(custom)
Affected: 18.3 , < 18.3R3-S5 (custom) Affected: 18.4 , < 18.4R3-S9 (custom) Affected: 19.1 , < 19.1R3-S6 (custom) Affected: 19.2 , < 19.2R1-S7, 19.2R3-S2 (custom) Affected: 19.3 , < 19.3R2-S6, 19.3R3-S2 (custom) Affected: 19.4 , < 19.4R1-S4, 19.4R3-S3 (custom) Affected: 20.1 , < 20.1R2-S2, 20.1R3 (custom) Affected: 20.2 , < 20.2R3 (custom) Affected: 20.3 , < 20.3R2-S1, 20.3R3 (custom) Affected: 20.4 , < 20.4R2 (custom) |
Date Public
2021-10-13 00:00
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CVE-2021-32780 (GCVE-0-2021-32780)
Vulnerability from cvelistv5 – Published: 2021-08-24 20:55 – Updated: 2024-08-03 23:33
VLAI
Title
Incorrect handling of H/2 GOAWAY followed by SETTINGS frames
Summary
Envoy is an open source L7 proxy and communication bus designed for large modern service oriented architectures. In affected versions Envoy transitions a H/2 connection to the CLOSED state when it receives a GOAWAY frame without any streams outstanding. The connection state is transitioned to DRAINING when it receives a SETTING frame with the SETTINGS_MAX_CONCURRENT_STREAMS parameter set to 0. Receiving these two frames in the same I/O event results in abnormal termination of the Envoy process due to invalid state transition from CLOSED to DRAINING. A sequence of H/2 frames delivered by an untrusted upstream server will result in Denial of Service in the presence of untrusted **upstream** servers. Envoy versions 1.19.1, 1.18.4 contain fixes to stop processing of pending H/2 frames after connection transition to the CLOSED state.
Severity
8.6 (High)
CWE
- CWE-754 - Improper Check for Unusual or Exceptional Conditions
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.envoyproxy.io/docs/envoy/v1.19.0/vers… | x_refsource_MISC |
| https://github.com/envoyproxy/envoy/security/advi… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| envoyproxy | envoy |
Affected:
>= 1.19.0, < 1.19.1
Affected: >= 1.18.0, < 1.18.4 |
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"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:N/A:H",
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"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"tags": [
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"url": "https://www.envoyproxy.io/docs/envoy/v1.19.0/version_history/version_history"
},
{
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"url": "https://github.com/envoyproxy/envoy/security/advisories/GHSA-j374-mjrw-vvp8"
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"source": {
"advisory": "GHSA-j374-mjrw-vvp8",
"discovery": "UNKNOWN"
},
"title": "Incorrect handling of H/2 GOAWAY followed by SETTINGS frames",
"x_legacyV4Record": {
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"ID": "CVE-2021-32780",
"STATE": "PUBLIC",
"TITLE": "Incorrect handling of H/2 GOAWAY followed by SETTINGS frames"
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"affects": {
"vendor": {
"vendor_data": [
{
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"version": {
"version_data": [
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"version_value": "\u003e= 1.19.0, \u003c 1.19.1"
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]
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"impact": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
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"dateUpdated": "2024-08-03T23:33:56.068Z",
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Mitigation ID: MIT-3
Phase: Requirements
Strategy: Language Selection
Description:
- Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- Choose languages with features such as exception handling that force the programmer to anticipate unusual conditions that may generate exceptions. Custom exceptions may need to be developed to handle unusual business-logic conditions. Be careful not to pass sensitive exceptions back to the user (CWE-209, CWE-248).
Mitigation
Phase: Implementation
Description:
- Check the results of all functions that return a value and verify that the value is expected.
Mitigation
Phase: Implementation
Description:
- If using exception handling, catch and throw specific exceptions instead of overly-general exceptions (CWE-396, CWE-397). Catch and handle exceptions as locally as possible so that exceptions do not propagate too far up the call stack (CWE-705). Avoid unchecked or uncaught exceptions where feasible (CWE-248).
Mitigation ID: MIT-39
Phase: Implementation
Description:
- Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success.
- If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files.
- Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
- Exposing additional information to a potential attacker in the context of an exceptional condition can help the attacker determine what attack vectors are most likely to succeed beyond DoS.
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.
Mitigation ID: MIT-38
Phases: Architecture and Design, Implementation
Description:
- If the program must fail, ensure that it fails gracefully (fails closed). There may be a temptation to simply let the program fail poorly in cases such as low memory conditions, but an attacker may be able to assert control before the software has fully exited. Alternately, an uncontrolled failure could cause cascading problems with other downstream components; for example, the program could send a signal to a downstream process so the process immediately knows that a problem has occurred and has a better chance of recovery.
Mitigation
Phase: Architecture and Design
Description:
- Use system limits, which should help to prevent resource exhaustion. However, the product should still handle low resource conditions since they may still occur.
No CAPEC attack patterns related to this CWE.