CWE-400

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

CVE-2021-34792 (GCVE-0-2021-34792)

Vulnerability from cvelistv5 – Published: 2021-10-27 18:56 – Updated: 2024-11-07 21:45
VLAI
Title
Cisco Adaptive Security Appliance Software and Firepower Threat Defense Software Resource Exhaustion Denial of Service Vulnerability
Summary
A vulnerability in the memory management of Cisco Adaptive Security Appliance (ASA) Software and Firepower Threat Defense (FTD) Software could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. This vulnerability is due to improper resource management when connection rates are high. An attacker could exploit this vulnerability by opening a significant number of connections on an affected device. A successful exploit could allow the attacker to cause the device to reload, resulting in a DoS condition.
CWE
Assigner
References
URL Tags
https://tools.cisco.com/security/center/content/C… vendor-advisoryx_refsource_CISCO
Impacted products
Date Public
2021-10-27 00:00
Show details on NVD website

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CVE-2021-3622 (GCVE-0-2021-3622)

Vulnerability from cvelistv5 – Published: 2021-12-23 20:31 – Updated: 2024-08-03 17:01
VLAI
Summary
A flaw was found in the hivex library. This flaw allows an attacker to input a specially crafted Windows Registry (hive) file, which would cause hivex to recursively call the _get_children() function, leading to a stack overflow. The highest threat from this vulnerability is to system availability.
Severity
No CVSS data available.
CWE
Assigner
Impacted products
Vendor Product Version
n/a hivex Affected: hivex-1.3.21
Show details on NVD website

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CVE-2021-3629 (GCVE-0-2021-3629)

Vulnerability from cvelistv5 – Published: 2022-05-24 18:19 – Updated: 2024-08-03 17:01
VLAI
Summary
A flaw was found in Undertow. A potential security issue in flow control handling by the browser over http/2 may potentially cause overhead or a denial of service in the server. The highest threat from this vulnerability is availability. This flaw affects Undertow versions prior to 2.0.40.Final and prior to 2.2.11.Final.
Severity
No CVSS data available.
CWE
Assigner
References
Impacted products
Vendor Product Version
n/a undertow Affected: undertow 2.0.40.Final, undertow 2.2.11.Final
Show details on NVD website

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CVE-2021-36395 (GCVE-0-2021-36395)

Vulnerability from cvelistv5 – Published: 2023-03-06 00:00 – Updated: 2025-03-07 19:09
VLAI
Summary
In Moodle, the file repository's URL parsing required additional recursion handling to mitigate the risk of recursion denial of service.
CWE
Assigner
References
Impacted products
Vendor Product Version
n/a Moodle Affected: 3.11, 3.10 to 3.10.4, 3.9 to 3.9.7 and earlier unsupported versions
Show details on NVD website

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CVE-2021-3669 (GCVE-0-2021-3669)

Vulnerability from cvelistv5 – Published: 2022-08-26 15:25 – Updated: 2025-11-03 21:44
VLAI
Summary
A flaw was found in the Linux kernel. Measuring usage of the shared memory does not scale with large shared memory segment counts which could lead to resource exhaustion and DoS.
Severity
No CVSS data available.
CWE
  • CWE-400 - - Uncontrolled Resource Consumption
Assigner
Impacted products
Vendor Product Version
n/a kernel Affected: Not Known
Show details on NVD website

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CVE-2021-3670 (GCVE-0-2021-3670)

Vulnerability from cvelistv5 – Published: 2022-08-23 15:50 – Updated: 2025-02-13 16:28
VLAI
Summary
MaxQueryDuration not honoured in Samba AD DC LDAP
Severity
No CVSS data available.
CWE
  • CWE-400 - - Uncontrolled Resource Consumption
Assigner
Impacted products
Vendor Product Version
n/a samba Affected: Affects Samba 4.1 and newer.
Show details on NVD website

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CVE-2021-3679 (GCVE-0-2021-3679)

Vulnerability from cvelistv5 – Published: 2021-08-05 19:54 – Updated: 2024-08-03 17:01
VLAI
Summary
A lack of CPU resource in the Linux kernel tracing module functionality in versions prior to 5.14-rc3 was found in the way user uses trace ring buffer in a specific way. Only privileged local users (with CAP_SYS_ADMIN capability) could use this flaw to starve the resources causing denial of service.
Severity
No CVSS data available.
CWE
Assigner
Impacted products
Vendor Product Version
n/a kernel Affected: kernel 5.14-rc3
Show details on NVD website

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CVE-2021-3690 (GCVE-0-2021-3690)

Vulnerability from cvelistv5 – Published: 2022-08-23 15:50 – Updated: 2024-08-03 17:01
VLAI
Summary
A flaw was found in Undertow. A buffer leak on the incoming WebSocket PONG message may lead to memory exhaustion. This flaw allows an attacker to cause a denial of service. The highest threat from this vulnerability is availability.
Severity
No CVSS data available.
CWE
  • CWE-400 - - Uncontrolled Resource Consumption
Assigner
Impacted products
Vendor Product Version
n/a undertow Affected: Fixed in 2.2.10.Final, 2.0.40.Final
Show details on NVD website

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CVE-2021-37136 (GCVE-0-2021-37136)

Vulnerability from cvelistv5 – Published: 2021-10-19 00:00 – Updated: 2024-08-04 01:16
VLAI
Summary
The Bzip2 decompression decoder function doesn't allow setting size restrictions on the decompressed output data (which affects the allocation size used during decompression). All users of Bzip2Decoder are affected. The malicious input can trigger an OOME and so a DoS attack
Severity
No CVSS data available.
CWE
Assigner
Impacted products
Vendor Product Version
The Netty project Netty Affected: unspecified , < 4.1.68Final (custom)
Create a notification for this product.
Show details on NVD website

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CVE-2021-37137 (GCVE-0-2021-37137)

Vulnerability from cvelistv5 – Published: 2021-10-19 00:00 – Updated: 2024-08-04 01:16
VLAI
Summary
The Snappy frame decoder function doesn't restrict the chunk length which may lead to excessive memory usage. Beside this it also may buffer reserved skippable chunks until the whole chunk was received which may lead to excessive memory usage as well. This vulnerability can be triggered by supplying malicious input that decompresses to a very big size (via a network stream or a file) or by sending a huge skippable chunk.
Severity
No CVSS data available.
CWE
Assigner
Impacted products
Vendor Product Version
The Netty project Netty Affected: unspecified , < 4.1.68Final (custom)
Create a notification for this product.
Show details on NVD website

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          "url": "https://www.debian.org/security/2023/dsa-5316"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "48a46f29-ae42-4e1d-90dd-c1676c1e5e6d",
    "assignerShortName": "JFROG",
    "cveId": "CVE-2021-37137",
    "datePublished": "2021-10-19T00:00:00.000Z",
    "dateReserved": "2021-07-20T00:00:00.000Z",
    "dateUpdated": "2024-08-04T01:16:02.953Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

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