CWE-770
Allocation of Resources Without Limits or Throttling
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.
CVE-2023-0921 (GCVE-0-2023-0921)
Vulnerability from cvelistv5 – Published: 2023-06-06 00:00 – Updated: 2025-01-07 21:51
VLAI
Title
Allocation of Resources Without Limits or Throttling in GitLab
Summary
A lack of length validation in GitLab CE/EE affecting all versions from 8.3 before 15.10.8, 15.11 before 15.11.7, and 16.0 before 16.0.2 allows an authenticated attacker to create a large Issue description via GraphQL which, when repeatedly requested, saturates CPU usage.
Severity
4.3 (Medium)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
Impacted products
Credits
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CVE-2023-20033 (GCVE-0-2023-20033)
Vulnerability from cvelistv5 – Published: 2023-09-27 17:20 – Updated: 2025-06-18 14:10
VLAI
Summary
A vulnerability in Cisco IOS XE Software for Cisco Catalyst 3650 and Catalyst 3850 Series Switches could allow an unauthenticated, remote attacker to cause an affected device to reload unexpectedly, resulting in a denial of service (DoS) condition.
This vulnerability is due to improper resource management when processing traffic that is received on the management interface. An attacker could exploit this vulnerability by sending a high rate of traffic to the management interface. A successful exploit could allow the attacker to cause the device to reload, resulting in a DoS condition.
Severity
8.6 (High)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco IOS XE Software |
Affected:
16.3.1
Affected: 16.3.2 Affected: 16.3.3 Affected: 16.3.1a Affected: 16.3.4 Affected: 16.3.5 Affected: 16.3.5b Affected: 16.3.6 Affected: 16.3.7 Affected: 16.3.8 Affected: 16.3.9 Affected: 16.3.10 Affected: 16.3.11 Affected: 16.4.1 Affected: 16.5.1 Affected: 16.5.1a Affected: 16.6.1 Affected: 16.6.2 Affected: 16.6.3 Affected: 16.6.4 Affected: 16.6.5 Affected: 16.6.4a Affected: 16.6.6 Affected: 16.6.7 Affected: 16.6.8 Affected: 16.6.9 Affected: 16.6.10 Affected: 16.7.1 Affected: 16.8.1 Affected: 16.8.1a Affected: 16.8.1s Affected: 16.9.1 Affected: 16.9.2 Affected: 16.9.1s Affected: 16.9.3 Affected: 16.9.4 Affected: 16.9.3a Affected: 16.9.5 Affected: 16.9.6 Affected: 16.9.7 Affected: 16.9.8 Affected: 16.11.1 Affected: 16.11.2 Affected: 16.11.1s Affected: 16.12.1 Affected: 16.12.1s Affected: 16.12.2 Affected: 16.12.3 Affected: 16.12.8 Affected: 16.12.4 Affected: 16.12.3s Affected: 16.12.3a Affected: 16.12.5 Affected: 16.12.6 Affected: 16.12.5b Affected: 16.12.6a Affected: 16.12.7 Affected: 16.12.9 |
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CVE-2023-20067 (GCVE-0-2023-20067)
Vulnerability from cvelistv5 – Published: 2023-03-23 00:00 – Updated: 2024-10-25 16:02
VLAI
Title
Cisco IOS XE Software for Wireless LAN Controllers HTTP Client Profiling Denial of Service Vulnerability
Summary
A vulnerability in the HTTP-based client profiling feature of Cisco IOS XE Software for Wireless LAN Controllers (WLCs) could allow an unauthenticated, adjacent attacker to cause a denial of service (DoS) condition on an affected device. This vulnerability is due to insufficient input validation of received traffic. An attacker could exploit this vulnerability by sending crafted traffic through a wireless access point. A successful exploit could allow the attacker to cause CPU utilization to increase, which could result in a DoS condition on an affected device and could cause new wireless client associations to fail. Once the offending traffic stops, the affected system will return to an operational state and new client associations will succeed.
Severity
7.4 (High)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://sec.cloudapps.cisco.com/security/center/c… | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco IOS XE Software |
Affected:
n/a
|
Date Public
2023-03-22 00:00
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CVE-2023-20155 (GCVE-0-2023-20155)
Vulnerability from cvelistv5 – Published: 2023-11-01 16:48 – Updated: 2024-08-02 09:05
VLAI
Summary
A vulnerability in a logging API in Cisco Firepower Management Center (FMC) Software could allow an unauthenticated, remote attacker to cause the device to become unresponsive or trigger an unexpected reload. This vulnerability could also allow an attacker with valid user credentials, but not Administrator privileges, to view a system log file that they would not normally have access to. This vulnerability is due to a lack of rate-limiting of requests that are sent to a specific API that is related to an FMC log. An attacker could exploit this vulnerability by sending a high rate of HTTP requests to the API. A successful exploit could allow the attacker to cause a denial of service (DoS) condition due to the FMC CPU spiking to 100 percent utilization or to the device reloading. CPU utilization would return to normal if the attack traffic was stopped before an unexpected reload was triggered.
Severity
7.5 (High)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Firepower Management Center |
Affected:
6.2.3
Affected: 6.2.3.1 Affected: 6.2.3.2 Affected: 6.2.3.3 Affected: 6.2.3.4 Affected: 6.2.3.5 Affected: 6.2.3.6 Affected: 6.2.3.7 Affected: 6.2.3.9 Affected: 6.2.3.10 Affected: 6.2.3.11 Affected: 6.2.3.12 Affected: 6.2.3.13 Affected: 6.2.3.14 Affected: 6.2.3.15 Affected: 6.2.3.8 Affected: 6.2.3.16 Affected: 6.2.3.17 Affected: 6.2.3.18 Affected: 6.4.0 Affected: 6.4.0.1 Affected: 6.4.0.3 Affected: 6.4.0.2 Affected: 6.4.0.4 Affected: 6.4.0.5 Affected: 6.4.0.6 Affected: 6.4.0.7 Affected: 6.4.0.8 Affected: 6.4.0.9 Affected: 6.4.0.10 Affected: 6.4.0.11 Affected: 6.4.0.12 Affected: 6.4.0.13 Affected: 6.4.0.14 Affected: 6.4.0.15 Affected: 6.4.0.16 Affected: 6.6.0 Affected: 6.6.0.1 Affected: 6.6.1 Affected: 6.6.3 Affected: 6.6.4 Affected: 6.6.5 Affected: 6.6.5.1 Affected: 6.6.5.2 Affected: 6.6.7 Affected: 6.6.7.1 Affected: 6.7.0 Affected: 6.7.0.1 Affected: 6.7.0.2 Affected: 6.7.0.3 Affected: 7.0.0 Affected: 7.0.0.1 Affected: 7.0.1 Affected: 7.0.1.1 Affected: 7.0.2 Affected: 7.0.2.1 Affected: 7.0.3 Affected: 7.0.4 Affected: 7.0.5 Affected: 7.1.0 Affected: 7.1.0.1 Affected: 7.1.0.2 Affected: 7.1.0.3 Affected: 7.2.0 Affected: 7.2.1 Affected: 7.2.2 Affected: 7.2.0.1 Affected: 7.2.3 Affected: 7.2.3.1 Affected: 7.3.0 Affected: 7.3.1 Affected: 7.3.1.1 |
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CVE-2023-22323 (GCVE-0-2023-22323)
Vulnerability from cvelistv5 – Published: 2023-02-01 17:53 – Updated: 2025-03-26 15:58
VLAI
Title
BIG-IP SSL OCSP Authentication profile vulnerability
Summary
In BIP-IP versions 17.0.x before 17.0.0.2, 16.1.x before 16.1.3.3, 15.1.x before 15.1.8.1, 14.1.x before 14.1.5.3, and all versions of 13.1.x, when OCSP authentication profile is configured on a virtual server, undisclosed requests can cause an increase in CPU resource utilization. Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.
Severity
7.5 (High)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
Impacted products
Date Public
2023-02-01 15:00
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CVE-2023-22397 (GCVE-0-2023-22397)
Vulnerability from cvelistv5 – Published: 2023-01-12 00:00 – Updated: 2025-04-07 15:40
VLAI
Title
Junos OS Evolved: PTX10003: An attacker sending specific genuine packets will cause a memory leak in the PFE leading to a Denial of Service
Summary
An Allocation of Resources Without Limits or Throttling weakness in the memory management of the Packet Forwarding Engine (PFE) on Juniper Networks Junos OS Evolved PTX10003 Series devices allows an adjacently located attacker who has established certain preconditions and knowledge of the environment to send certain specific genuine packets to begin a Time-of-check Time-of-use (TOCTOU) Race Condition attack which will cause a memory leak to begin. Once this condition begins, and as long as the attacker is able to sustain the offending traffic, a Distributed Denial of Service (DDoS) event occurs. As a DDoS event, the offending packets sent by the attacker will continue to flow from one device to another as long as they are received and processed by any devices, ultimately causing a cascading outage to any vulnerable devices. Devices not vulnerable to the memory leak will process and forward the offending packet(s) to neighboring devices. Due to internal anti-flood security controls and mechanisms reaching their maximum limit of response in the worst-case scenario, all affected Junos OS Evolved devices will reboot in as little as 1.5 days. Reboots to restore services cannot be avoided once the memory leak begins. The device will self-recover after crashing and rebooting. Operator intervention isn't required to restart the device. This issue affects: Juniper Networks Junos OS Evolved on PTX10003: All versions prior to 20.4R3-S4-EVO; 21.3 versions prior to 21.3R3-S1-EVO; 21.4 versions prior to 21.4R2-S2-EVO, 21.4R3-EVO; 22.1 versions prior to 22.1R1-S2-EVO, 22.1R2-EVO; 22.2 versions prior to 22.2R2-EVO. To check memory, customers may VTY to the PFE first then execute the following show statement: show jexpr jtm ingress-main-memory chip 255 | no-more Alternatively one may execute from the RE CLI: request pfe execute target fpc0 command "show jexpr jtm ingress-main-memory chip 255 | no-more" Iteration 1: Example output: Mem type: NH, alloc type: JTM 136776 bytes used (max 138216 bytes used) 911568 bytes available (909312 bytes from free pages) Iteration 2: Example output: Mem type: NH, alloc type: JTM 137288 bytes used (max 138216 bytes used) 911056 bytes available (909312 bytes from free pages) The same can be seen in the CLI below, assuming the scale does not change: show npu memory info Example output: FPC0:NPU16 mem-util-jnh-nh-size 2097152 FPC0:NPU16 mem-util-jnh-nh-allocated 135272 FPC0:NPU16 mem-util-jnh-nh-utilization 6
Severity
6.1 (Medium)
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA70193 |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Juniper Networks | Junos OS Evolved |
Affected:
unspecified , < 20.4R3-S4-EVO
(custom)
Affected: 21.3 , < 21.3R3-S1-EVO (custom) Affected: 21.4 , < 21.4R2-S2-EVO, 21.4R3-EVO (custom) Affected: 22.1 , < 22.1R1-S2-EVO, 22.1R2-EVO (custom) Affected: 22.2 , < 22.2R2-EVO (custom) |
Date Public
2023-01-11 00:00
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CVE-2023-22403 (GCVE-0-2023-22403)
Vulnerability from cvelistv5 – Published: 2023-01-12 00:00 – Updated: 2025-04-07 19:55
VLAI
Title
Junos OS: QFX10K Series: An ICCP flap will be observed due to excessive specific traffic
Summary
An Allocation of Resources Without Limits or Throttling vulnerability in the Packet Forwarding Engine (PFE) of Juniper Networks Junos OS allows a network-based, unauthenticated attacker to cause a Denial of Service (DoS).
On QFX10K Series, Inter-Chassis Control Protocol (ICCP) is used in MC-LAG topologies to exchange control information between the devices in the topology. ICCP connection flaps and sync issues will be observed due to excessive specific traffic to the local device.
This issue affects Juniper Networks Junos OS on QFX10K Series:
* All versions prior to 20.2R3-S7;
* 20.4 versions prior to 20.4R3-S4;
* 21.1 versions prior to 21.1R3-S3;
* 21.2 versions prior to 21.2R3-S1;
* 21.3 versions prior to 21.3R3;
* 21.4 versions prior to 21.4R3;
* 22.1 versions prior to 22.1R2.
Severity
7.5 (High)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
- Denial of Service (DoS)
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kb.juniper.net/JSA70199 | vendor-advisory |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Juniper Networks | Junos OS |
Affected:
unspecified , < 20.2R3-S7
(custom)
Affected: 20.4 , < 20.4R3-S4 (custom) Affected: 21.1 , < 21.1R3-S3 (custom) Affected: 21.2 , < 21.2R3-S1 (custom) Affected: 21.3 , < 21.3R3 (custom) Affected: 21.4 , < 21.4R3 (custom) Affected: 22.1 , < 22.1R2 (custom) |
Date Public
2023-01-11 17:00
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CVE-2023-22739 (GCVE-0-2023-22739)
Vulnerability from cvelistv5 – Published: 2023-01-26 08:45 – Updated: 2025-03-10 21:19
VLAI
Title
Discourse subject to Allocation of Resources Without Limits or Throttling
Summary
Discourse is an open source platform for community discussion. Versions prior to 3.0.1 (stable), 3.1.0.beta2 (beta), and 3.1.0.beta2 (tests-passed) are subject to Allocation of Resources Without Limits or Throttling. As there is no limit on data contained in a draft, a malicious user can create an arbitrarily large draft, forcing the instance to a crawl. This issue is patched in versions 3.0.1 (stable), 3.1.0.beta2 (beta), and 3.1.0.beta2 (tests-passed). There are no workarounds.
Severity
6.5 (Medium)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/discourse/discourse/security/a… | x_refsource_CONFIRM |
Impacted products
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CVE-2023-22740 (GCVE-0-2023-22740)
Vulnerability from cvelistv5 – Published: 2023-01-27 00:39 – Updated: 2025-03-10 21:18
VLAI
Title
Discourse vulnerable to Allocation of Resources Without Limits via Chat drafts
Summary
Discourse is an open source platform for community discussion. Versions prior to 3.1.0.beta1 (beta) (tests-passed) are vulnerable to Allocation of Resources Without Limits. Users can create chat drafts of an unlimited length, which can cause a denial of service by generating an excessive load on the server. Additionally, an unlimited number of drafts were loaded when loading the user. This issue has been patched in version 2.1.0.beta1 (beta) and (tests-passed). Users should upgrade to the latest version where a limit has been introduced. There are no workarounds available.
Severity
4.3 (Medium)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/discourse/discourse/security/a… | x_refsource_CONFIRM |
| https://github.com/discourse/discourse/commit/5ea… | x_refsource_MISC |
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CVE-2023-22819 (GCVE-0-2023-22819)
Vulnerability from cvelistv5 – Published: 2024-02-05 21:26 – Updated: 2024-09-05 22:47
VLAI
Title
Uncontrolled resource consumption vulnerability in Western Digital My Cloud, My Cloud Home and SanDisk ibi products
Summary
An uncontrolled resource consumption vulnerability issue that could arise by sending crafted requests to a service to consume a large amount of memory, eventually resulting in the service being stopped and restarted was discovered in Western Digital My Cloud Home, My Cloud Home Duo, SanDisk ibi and Western Digital My Cloud OS 5 devices. This issue requires the attacker to already have root privileges in order to exploit this vulnerability. This issue affects My Cloud Home and My Cloud Home Duo: before 9.5.1-104; ibi: before 9.5.1-104; My Cloud OS 5: before 5.27.161.
Severity
4.9 (Medium)
CWE
- CWE-770 - Allocation of Resources Without Limits or Throttling
Assigner
References
1 reference
Impacted products
3 products
| Vendor | Product | Version | |
|---|---|---|---|
| Western Digital | My Cloud OS 5 |
Affected:
0 , < 5.27.161
(custom)
|
|
| Western Digital | My Cloud Home & Duo |
Affected:
0 , < 9.5.1-104
(custom)
|
|
| SanDisk | ibi |
Affected:
0 , < 9.5.1-104
(custom)
|
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Mitigation
Phase: Requirements
Description:
- Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits.
Mitigation
Phase: Architecture and Design
Description:
- Limit the amount of resources that are accessible to unprivileged users. Set per-user limits for resources. Allow the system administrator to define these limits. Be careful to avoid CWE-410.
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, and it will help the administrator to identify who is committing the abuse. 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 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-15
Phase: Architecture and Design
Description:
- For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
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 can be difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply requires more resources on the part of the attacker.
- recognizes the attack and denies that user further access for a given amount of time, typically by using increasing time delays
- 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 ID: MIT-38.1
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.
- Ensure that all failures in resource allocation place the system into a safe posture.
Mitigation ID: MIT-47
Phases: Operation, Architecture and Design
Strategy: Resource Limitation
Description:
- Use quotas or other resource-limiting settings provided by the operating system or environment. For example, when managing system resources in POSIX, setrlimit() can be used to set limits for certain types of resources, and getrlimit() can determine how many resources are available. However, these functions are not available on all operating systems.
- When the current levels get close to the maximum that is defined for the application (see CWE-770), then limit the allocation of further resources to privileged users; alternately, begin releasing resources for less-privileged users. While this mitigation may protect the system from attack, it will not necessarily stop attackers from adversely impacting other users.
- Ensure that the application performs the appropriate error checks and error handling in case resources become unavailable (CWE-703).
CAPEC-125: Flooding
An adversary consumes the resources of a target by rapidly engaging in a large number of interactions with the target. This type of attack generally exposes a weakness in rate limiting or flow. When successful this attack prevents legitimate users from accessing the service and can cause the target to crash. This attack differs from resource depletion through leaks or allocations in that the latter attacks do not rely on the volume of requests made to the target but instead focus on manipulation of the target's operations. The key factor in a flooding attack is the number of requests the adversary can make in a given period of time. The greater this number, the more likely an attack is to succeed against a given target.
CAPEC-130: Excessive Allocation
An adversary causes the target to allocate excessive resources to servicing the attackers' request, thereby reducing the resources available for legitimate services and degrading or denying services. Usually, this attack focuses on memory allocation, but any finite resource on the target could be the attacked, including bandwidth, processing cycles, or other resources. This attack does not attempt to force this allocation through a large number of requests (that would be Resource Depletion through Flooding) but instead uses one or a small number of requests that are carefully formatted to force the target to allocate excessive resources to service this request(s). Often this attack takes advantage of a bug in the target to cause the target to allocate resources vastly beyond what would be needed for a normal request.
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-197: Exponential Data Expansion
An adversary submits data to a target application which contains nested exponential data expansion to produce excessively large output. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. However, this capability can be abused to create excessive demands on a processor's CPU and memory. A small number of nested expansions can result in an exponential growth in demands on memory.
CAPEC-229: Serialized Data Parameter Blowup
This attack exploits certain serialized data parsers (e.g., XML, YAML, etc.) which manage data in an inefficient manner. The attacker crafts an serialized data file with multiple configuration parameters in the same dataset. In a vulnerable parser, this results in a denial of service condition where CPU resources are exhausted because of the parsing algorithm. The weakness being exploited is tied to parser implementation and not language specific.
CAPEC-230: Serialized Data with Nested Payloads
Applications often need to transform data in and out of a data format (e.g., XML and YAML) by using a parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. By nesting these structures, causing the data to be repeatedly substituted, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization.
CAPEC-231: Oversized Serialized Data Payloads
An adversary injects oversized serialized data payloads into a parser during data processing to produce adverse effects upon the parser such as exhausting system resources and arbitrary code execution.
CAPEC-469: HTTP DoS
An attacker performs flooding at the HTTP level to bring down only a particular web application rather than anything listening on a TCP/IP connection. This denial of service attack requires substantially fewer packets to be sent which makes DoS harder to detect. This is an equivalent of SYN flood in HTTP. The idea is to keep the HTTP session alive indefinitely and then repeat that hundreds of times. This attack targets resource depletion weaknesses in web server software. The web server will wait to attacker's responses on the initiated HTTP sessions while the connection threads are being exhausted.
CAPEC-482: TCP Flood
An adversary may execute a flooding attack using the TCP protocol with the intent to deny legitimate users access to a service. These attacks exploit the weakness within the TCP protocol where there is some state information for the connection the server needs to maintain. This often involves the use of TCP SYN messages.
CAPEC-486: UDP Flood
An adversary may execute a flooding attack using the UDP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. Additionally, firewalls often open a port for each UDP connection destined for a service with an open UDP port, meaning the firewalls in essence save the connection state thus the high packet nature of a UDP flood can also overwhelm resources allocated to the firewall. UDP attacks can also target services like DNS or VoIP which utilize these protocols. Additionally, due to the session-less nature of the UDP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.
CAPEC-487: ICMP Flood
An adversary may execute a flooding attack using the ICMP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. A typical attack involves a victim server receiving ICMP packets at a high rate from a wide range of source addresses. Additionally, due to the session-less nature of the ICMP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.
CAPEC-488: HTTP Flood
An adversary may execute a flooding attack using the HTTP protocol with the intent to deny legitimate users access to a service by consuming resources at the application layer such as web services and their infrastructure. These attacks use legitimate session-based HTTP GET requests designed to consume large amounts of a server's resources. Since these are legitimate sessions this attack is very difficult to detect.
CAPEC-489: SSL Flood
An adversary may execute a flooding attack using the SSL protocol with the intent to deny legitimate users access to a service by consuming all the available resources on the server side. These attacks take advantage of the asymmetric relationship between the processing power used by the client and the processing power used by the server to create a secure connection. In this manner the attacker can make a large number of HTTPS requests on a low provisioned machine to tie up a disproportionately large number of resources on the server. The clients then continue to keep renegotiating the SSL connection. When multiplied by a large number of attacking machines, this attack can result in a crash or loss of service to legitimate users.
CAPEC-490: Amplification
An adversary may execute an amplification where the size of a response is far greater than that of the request that generates it. The goal of this attack is to use a relatively few resources to create a large amount of traffic against a target server. To execute this attack, an adversary send a request to a 3rd party service, spoofing the source address to be that of the target server. The larger response that is generated by the 3rd party service is then sent to the target server. By sending a large number of initial requests, the adversary can generate a tremendous amount of traffic directed at the target. The greater the discrepancy in size between the initial request and the final payload delivered to the target increased the effectiveness of this attack.
CAPEC-491: Quadratic Data Expansion
An adversary exploits macro-like substitution to cause a denial of service situation due to excessive memory being allocated to fully expand the data. The result of this denial of service could cause the application to freeze or crash. This involves defining a very large entity and using it multiple times in a single entity substitution. CAPEC-197 is a similar attack pattern, but it is easier to discover and defend against. This attack pattern does not perform multi-level substitution and therefore does not obviously appear to consume extensive resources.
CAPEC-493: SOAP Array Blowup
An adversary may execute an attack on a web service that uses SOAP messages in communication. By sending a very large SOAP array declaration to the web service, the attacker forces the web service to allocate space for the array elements before they are parsed by the XML parser. The attacker message is typically small in size containing a large array declaration of say 1,000,000 elements and a couple of array elements. This attack targets exhaustion of the memory resources of the web service.
CAPEC-494: TCP Fragmentation
An adversary may execute a TCP Fragmentation attack against a target with the intention of avoiding filtering rules of network controls, by attempting to fragment the TCP packet such that the headers flag field is pushed into the second fragment which typically is not filtered.
CAPEC-495: UDP Fragmentation
An attacker may execute a UDP Fragmentation attack against a target server in an attempt to consume resources such as bandwidth and CPU. IP fragmentation occurs when an IP datagram is larger than the MTU of the route the datagram has to traverse. Typically the attacker will use large UDP packets over 1500 bytes of data which forces fragmentation as ethernet MTU is 1500 bytes. This attack is a variation on a typical UDP flood but it enables more network bandwidth to be consumed with fewer packets. Additionally it has the potential to consume server CPU resources and fill memory buffers associated with the processing and reassembling of fragmented packets.
CAPEC-496: ICMP Fragmentation
An attacker may execute a ICMP Fragmentation attack against a target with the intention of consuming resources or causing a crash. The attacker crafts a large number of identical fragmented IP packets containing a portion of a fragmented ICMP message. The attacker these sends these messages to a target host which causes the host to become non-responsive. Another vector may be sending a fragmented ICMP message to a target host with incorrect sizes in the header which causes the host to hang.
CAPEC-528: XML Flood
An adversary may execute a flooding attack using XML messages with the intent to deny legitimate users access to a web service. These attacks are accomplished by sending a large number of XML based requests and letting the service attempt to parse each one. In many cases this type of an attack will result in a XML Denial of Service (XDoS) due to an application becoming unstable, freezing, or crashing.