CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource.
CVE-2023-33958 (GCVE-0-2023-33958)
Vulnerability from cvelistv5 – Published: 2023-06-06 18:13 – Updated: 2024-08-02 15:54
VLAI
Title
Default `maxSignatureAttempts` in `notation verify` enables an endless data attack in notation
Summary
notation is a CLI tool to sign and verify OCI artifacts and container images. An attacker who has compromised a registry and added a high number of signatures to an artifact can cause denial of service of services on the machine, if a user runs notation verify command on the same machine. The problem has been fixed in the release v1.0.0-rc.6. Users should upgrade their notation packages to v1.0.0-rc.6 or above. Users unable to upgrade may restrict container registries to a set of secure and trusted container registries.
Severity
5.4 (Medium)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/notaryproject/notation/securit… | x_refsource_CONFIRM |
| https://github.com/notaryproject/notation/release… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| notaryproject | notation |
Affected:
< 1.0.0-rc.6
|
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CVE-2023-3398 (GCVE-0-2023-3398)
Vulnerability from cvelistv5 – Published: 2023-06-26 10:05 – Updated: 2024-12-03 18:47
VLAI
Title
Denial of Service in jgraph/drawio
Summary
Denial of Service in GitHub repository jgraph/drawio prior to 18.1.3.
Severity
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| jgraph | jgraph/drawio |
Affected:
unspecified , < 18.1.3
(custom)
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CVE-2023-34104 (GCVE-0-2023-34104)
Vulnerability from cvelistv5 – Published: 2023-06-06 17:35 – Updated: 2024-08-02 16:01
VLAI
Title
Regex Injection via Doctype Entities
Summary
fast-xml-parser is an open source, pure javascript xml parser. fast-xml-parser allows special characters in entity names, which are not escaped or sanitized. Since the entity name is used for creating a regex for searching and replacing entities in the XML body, an attacker can abuse it for denial of service (DoS) attacks. By crafting an entity name that results in an intentionally bad performing regex and utilizing it in the entity replacement step of the parser, this can cause the parser to stall for an indefinite amount of time. This problem has been resolved in v4.2.4. Users are advised to upgrade. Users unable to upgrade should avoid using DOCTYPE parsing by setting the `processEntities: false` option.
Severity
7.5 (High)
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/NaturalIntelligence/fast-xml-p… | x_refsource_CONFIRM |
| https://github.com/NaturalIntelligence/fast-xml-p… | x_refsource_MISC |
| https://github.com/NaturalIntelligence/fast-xml-p… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| NaturalIntelligence | fast-xml-parser |
Affected:
>= 4.1.3, < 4.2.4
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CVE-2023-34109 (GCVE-0-2023-34109)
Vulnerability from cvelistv5 – Published: 2023-06-07 17:11 – Updated: 2025-01-06 20:12
VLAI
Title
User input results in Unbounded resource consumption in @zxcvbn-ts/core
Summary
zxcvbn-ts is an open source password strength estimator written in typescript. This vulnerability affects users running on the nodeJS platform which are using the second argument of the zxcvbn function. It can result in an unbounded resource consumption as the user inputs array is extended with every function call. Browsers are impacted, too but a single user need to do a lot of input changes so that it affects the browser, while the node process gets the inputs of every user of a platform and can be killed that way. This problem has been patched in version 3.0.2. Users are advised to upgrade. Users unable to upgrade should stop using the second argument of the zxcvbn function and use the zxcvbnOptions.setOptions function.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/zxcvbn-ts/zxcvbn/security/advi… | x_refsource_CONFIRM |
| https://github.com/zxcvbn-ts/zxcvbn/commit/3f9bed… | x_refsource_MISC |
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CVE-2023-34458 (GCVE-0-2023-34458)
Vulnerability from cvelistv5 – Published: 2023-07-13 18:45 – Updated: 2024-10-22 16:08
VLAI
Title
mx-chain-go's relayed transactions always increment nonce
Summary
mx-chain-go is the official implementation of the MultiversX blockchain protocol, written in golang. When executing a relayed transaction, if the inner transaction failed, it would have increased the inner transaction's sender account nonce. This could have contributed to a limited DoS attack on a targeted account. The fix is a breaking change so a new flag `RelayedNonceFixEnableEpoch` was needed. This was a strict processing issue while validating blocks on a chain. This vulnerability has been patched in version 1.4.17.
Severity
7.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/multiversx/mx-chain-go/securit… | x_refsource_CONFIRM |
| https://github.com/multiversx/mx-chain-go/commit/… | x_refsource_MISC |
| https://github.com/multiversx/mx-chain-go/blob/ba… | x_refsource_MISC |
| https://github.com/multiversx/mx-chain-go/release… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| multiversx | mx-chain-go |
Affected:
< 1.4.17
|
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CVE-2023-34462 (GCVE-0-2023-34462)
Vulnerability from cvelistv5 – Published: 2023-06-22 23:00 – Updated: 2025-02-13 16:55
VLAI
Title
netty-handler SniHandler 16MB allocation
Summary
Netty is an asynchronous event-driven network application framework for rapid development of maintainable high performance protocol servers & clients. The `SniHandler` can allocate up to 16MB of heap for each channel during the TLS handshake. When the handler or the channel does not have an idle timeout, it can be used to make a TCP server using the `SniHandler` to allocate 16MB of heap. The `SniHandler` class is a handler that waits for the TLS handshake to configure a `SslHandler` according to the indicated server name by the `ClientHello` record. For this matter it allocates a `ByteBuf` using the value defined in the `ClientHello` record. Normally the value of the packet should be smaller than the handshake packet but there are not checks done here and the way the code is written, it is possible to craft a packet that makes the `SslClientHelloHandler`. This vulnerability has been fixed in version 4.1.94.Final.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
5 references
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CVE-2023-35191 (GCVE-0-2023-35191)
Vulnerability from cvelistv5 – Published: 2024-03-14 16:45 – Updated: 2025-02-13 16:55
VLAI
Summary
Uncontrolled resource consumption for some Intel(R) SPS firmware versions may allow a privileged user to potentially enable denial of service via network access.
Severity
6.8 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- denial of service
- CWE-400 - Uncontrolled resource consumption
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| n/a | Intel(R) SPS firmware versions |
Affected:
See references
|
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CVE-2023-35298 (GCVE-0-2023-35298)
Vulnerability from cvelistv5 – Published: 2023-07-11 17:03 – Updated: 2025-01-01 01:52
VLAI
Title
HTTP.sys Denial of Service Vulnerability
Summary
HTTP.sys Denial of Service Vulnerability
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.1850
(custom)
|
|
| Microsoft | Windows 11 version 21H2 |
Affected:
10.0.0 , < 10.0.22000.2176
(custom)
|
|
| Microsoft | Windows 11 version 22H2 |
Affected:
10.0.22621.0 , < 10.0.22621.1992
(custom)
|
Date Public
2023-07-11 07:00
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CVE-2023-35329 (GCVE-0-2023-35329)
Vulnerability from cvelistv5 – Published: 2023-07-11 17:02 – Updated: 2025-01-01 01:52
VLAI
Title
Windows Authentication Denial of Service Vulnerability
Summary
Windows Authentication Denial of Service Vulnerability
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
Impacted products
17 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.17763.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows Server 2019 |
Affected:
10.0.17763.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows Server 2019 (Server Core installation) |
Affected:
10.0.17763.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.1850
(custom)
|
|
| Microsoft | Windows 11 version 21H2 |
Affected:
10.0.0 , < 10.0.22000.2176
(custom)
|
|
| Microsoft | Windows 10 Version 21H2 |
Affected:
10.0.19043.0 , < 10.0.19044.3208
(custom)
|
|
| Microsoft | Windows 11 version 22H2 |
Affected:
10.0.22621.0 , < 10.0.22621.1992
(custom)
|
|
| Microsoft | Windows 10 Version 22H2 |
Affected:
10.0.19045.0 , < 10.0.19045.3208
(custom)
|
|
| Microsoft | Windows 10 Version 1507 |
Affected:
10.0.10240.0 , < 10.0.10240.20048
(custom)
|
|
| Microsoft | Windows 10 Version 1607 |
Affected:
10.0.14393.0 , < 10.0.14393.6085
(custom)
|
|
| Microsoft | Windows Server 2016 |
Affected:
10.0.14393.0 , < 10.0.14393.6085
(custom)
|
|
| Microsoft | Windows Server 2016 (Server Core installation) |
Affected:
10.0.14393.0 , < 10.0.14393.6085
(custom)
|
|
| Microsoft | Windows Server 2012 |
Affected:
6.2.9200.0 , < 6.2.9200.24374
(custom)
|
|
| Microsoft | Windows Server 2012 (Server Core installation) |
Affected:
6.2.9200.0 , < 6.2.9200.24374
(custom)
|
|
| Microsoft | Windows Server 2012 R2 |
Affected:
6.3.9600.0 , < 6.3.9600.21063
(custom)
|
|
| Microsoft | Windows Server 2012 R2 (Server Core installation) |
Affected:
6.3.9600.0 , < 6.3.9600.21063
(custom)
|
Date Public
2023-07-11 07:00
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CVE-2023-35339 (GCVE-0-2023-35339)
Vulnerability from cvelistv5 – Published: 2023-07-11 17:02 – Updated: 2025-01-01 01:52
VLAI
Title
Windows CryptoAPI Denial of Service Vulnerability
Summary
Windows CryptoAPI Denial of Service Vulnerability
Severity
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisory |
Impacted products
13 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.17763.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows Server 2019 |
Affected:
10.0.17763.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows Server 2019 (Server Core installation) |
Affected:
10.0.17763.0 , < 10.0.17763.4645
(custom)
|
|
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.1850
(custom)
|
|
| Microsoft | Windows 11 version 21H2 |
Affected:
10.0.0 , < 10.0.22000.2176
(custom)
|
|
| Microsoft | Windows 10 Version 21H2 |
Affected:
10.0.19043.0 , < 10.0.19044.3208
(custom)
|
|
| Microsoft | Windows 11 version 22H2 |
Affected:
10.0.22621.0 , < 10.0.22621.1992
(custom)
|
|
| Microsoft | Windows 10 Version 22H2 |
Affected:
10.0.19045.0 , < 10.0.19045.3208
(custom)
|
|
| Microsoft | Windows 10 Version 1507 |
Affected:
10.0.10240.0 , < 10.0.10240.20048
(custom)
|
|
| Microsoft | Windows 10 Version 1607 |
Affected:
10.0.14393.0 , < 10.0.14393.6085
(custom)
|
|
| Microsoft | Windows Server 2016 |
Affected:
10.0.14393.0 , < 10.0.14393.6085
(custom)
|
|
| Microsoft | Windows Server 2016 (Server Core installation) |
Affected:
10.0.14393.0 , < 10.0.14393.6085
(custom)
|
Date Public
2023-07-11 07:00
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Mitigation
Phase: Architecture and Design
Description:
- Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
Mitigation
Phase: Architecture and Design
Description:
- Mitigation of resource exhaustion attacks requires that the target system either:
- The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.
- The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
- recognizes the attack and denies that user further access for a given amount of time, or
- uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed.
Mitigation
Phase: Architecture and Design
Description:
- Ensure that protocols have specific limits of scale placed on them.
Mitigation
Phase: Implementation
Description:
- Ensure that all failures in resource allocation place the system into a safe posture.
CAPEC-147: XML Ping of the Death
An attacker initiates a resource depletion attack where a large number of small XML messages are delivered at a sufficiently rapid rate to cause a denial of service or crash of the target. Transactions such as repetitive SOAP transactions can deplete resources faster than a simple flooding attack because of the additional resources used by the SOAP protocol and the resources necessary to process SOAP messages. The transactions used are immaterial as long as they cause resource utilization on the target. In other words, this is a normal flooding attack augmented by using messages that will require extra processing on the target.
CAPEC-227: Sustained Client Engagement
An adversary attempts to deny legitimate users access to a resource by continually engaging a specific resource in an attempt to keep the resource tied up as long as possible. The adversary's primary goal is not to crash or flood the target, which would alert defenders; rather it is to repeatedly perform actions or abuse algorithmic flaws such that a given resource is tied up and not available to a legitimate user. By carefully crafting a requests that keep the resource engaged through what is seemingly benign requests, legitimate users are limited or completely denied access to the resource.
CAPEC-492: Regular Expression Exponential Blowup
An adversary may execute an attack on a program that uses a poor Regular Expression(Regex) implementation by choosing input that results in an extreme situation for the Regex. A typical extreme situation operates at exponential time compared to the input size. This is due to most implementations using a Nondeterministic Finite Automaton(NFA) state machine to be built by the Regex algorithm since NFA allows backtracking and thus more complex regular expressions.