CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource.
CVE-2021-1378 (GCVE-0-2021-1378)
Vulnerability from cvelistv5 – Published: 2021-02-17 16:55 – Updated: 2024-11-08 23:41| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco ASR 5000 Series Software |
Affected:
n/a
|
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CVE-2021-1460 (GCVE-0-2021-1460)
Vulnerability from cvelistv5 – Published: 2021-03-24 20:06 – Updated: 2024-11-08 23:34| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
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CVE-2021-1489 (GCVE-0-2021-1489)
Vulnerability from cvelistv5 – Published: 2021-04-29 17:31 – Updated: 2024-11-08 23:22| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Firepower Threat Defense Software |
Affected:
n/a
|
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CVE-2021-1563 (GCVE-0-2021-1563)
Vulnerability from cvelistv5 – Published: 2021-06-04 16:46 – Updated: 2024-11-07 22:09| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Video Surveillance 7000 Series IP Cameras |
Affected:
n/a
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CVE-2021-1564 (GCVE-0-2021-1564)
Vulnerability from cvelistv5 – Published: 2021-06-04 16:46 – Updated: 2024-11-07 22:08| URL | Tags |
|---|---|
| https://tools.cisco.com/security/center/content/C… | vendor-advisoryx_refsource_CISCO |
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| Cisco | Cisco Video Surveillance 7000 Series IP Cameras |
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CVE-2021-20185 (GCVE-0-2021-20185)
Vulnerability from cvelistv5 – Published: 2021-01-28 19:01 – Updated: 2024-08-03 17:30| URL | Tags |
|---|---|
| https://moodle.org/mod/forum/discuss.php?d=417168 | x_refsource_MISC |
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CVE-2021-20201 (GCVE-0-2021-20201)
Vulnerability from cvelistv5 – Published: 2021-05-28 10:42 – Updated: 2024-08-03 17:30| URL | Tags |
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| https://bugzilla.redhat.com/show_bug.cgi?id=1921846 | x_refsource_MISC |
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CVE-2021-20216 (GCVE-0-2021-20216)
Vulnerability from cvelistv5 – Published: 2021-03-25 18:57 – Updated: 2024-08-03 17:30| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=1923256 | x_refsource_MISC |
| https://www.openwall.com/lists/oss-security/2021/… | x_refsource_MISC |
| https://www.privoxy.org/3.0.31/user-manual/whatsn… | x_refsource_MISC |
| https://security.gentoo.org/glsa/202107-16 | vendor-advisoryx_refsource_GENTOO |
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CVE-2021-20234 (GCVE-0-2021-20234)
Vulnerability from cvelistv5 – Published: 2021-04-01 13:46 – Updated: 2024-08-03 17:37| URL | Tags |
|---|---|
| https://bugzilla.redhat.com/show_bug.cgi?id=1921972 | x_refsource_MISC |
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CVE-2021-20237 (GCVE-0-2021-20237)
Vulnerability from cvelistv5 – Published: 2021-05-28 10:42 – Updated: 2024-08-03 17:37| URL | Tags |
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| https://bugzilla.redhat.com/show_bug.cgi?id=1921989 | x_refsource_MISC |
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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.