Status: Incomplete Weakness ID: 400 (Weakness Base)Summary The software does not properly restrict the size or amount of resources that are requested by an actor, which can be used to consume more resources than intended. Extended Description Limited resources include memory, file system storage, database connection pool entries, or CPU. If an attacker can trigger the allocation of these limited resources, but the number or size of the resources is not controlled, then the attacker could cause a denial of service that consumes all available resources. This would prevent valid users from accessing the software, and it could potentially have an impact on the surrounding environment. For example, a memory exhaustion attack against an application could slow down the application as well as its host operating system. Resource exhaustion problems have at least two common causes: (1) Error conditions and other exceptional circumstances (2) Confusion over which part of the program is responsible for releasing the resource Availability The most common result of resource exhaustion is denial of service. Access Control In some cases it may be possible to force a system to "fail open" in the event of resource exhaustion. Java Example: class Worker implements Executor { ... public void execute(Runnable r) { try { ... } catch (InterruptedException ie) { // postpone response Thread.currentThread().interrupt(); } } public Worker(Channel ch, int nworkers) { ... } protected void activate() { Runnable loop = new Runnable() { public void run() { try { for (;;) { Runnable r = ... r.run(); } } catch (InterruptedException ie) { ... } } }; new Thread(loop).start(); } C/C++ Example: int main(int argc, char *argv[]) { sock=socket(AF_INET, SOCK_STREAM, 0); while (1) { newsock=accept(sock, ...); printf("A connection has been accepted\n"); pid = fork(); } There are no limits to runnables/forks. Potentially an attacker could cause resource problems very quickly. Architecture and Design 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. Architecture and Design Ensure that protocols have specific limits of scale placed on them. Implementation Ensure that all failures in resource allocation place the system into a safe posture. Implementation Fail safely when a resource exhaustion occurs. Resource exhaustion issues are generally understood but are far more difficult to successfully prevent. Taking advantage of various entry points, an attacker could craft a wide variety of requests that would cause the site to consume resources. Database queries that take a long time to process are good DoS targets. An attacker would have to write a few lines of Perl code to generate enough traffic to exceed the site's ability to keep up. This would effectively prevent authorized users from using the site at all. Resources can be exploited simply by ensuring that the target machine must do much more work and consume more resources in order to service a request than the attacker must do to initiate a request. Prevention of these attacks requires either that the target system: - either 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. 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, he 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. The final concern that must be discussed about issues of resource exhaustion is that of systems which "fail open." This means that in the event of resource consumption, the system fails in such a way that the state of the system -- and possibly the security functionality of the system -- is compromised. A prime example of this can be found in old switches that were vulnerable to "macof" attacks (so named for a tool developed by Dugsong). These attacks flooded a switch with random IP and MAC address combinations, therefore exhausting the switch's cache, which held the information of which port corresponded to which MAC addresses. Once this cache was exhausted, the switch would fail in an insecure way and would begin to act simply as a hub, broadcasting all traffic on all ports and allowing for basic sniffing attacks.
Submissions CLASP. (Externally Mined) Modifications Eric Dalci. Cigital. 2008-07-01. (External) updated Time_of_Introduction Veracode. 2008-08-15. (External) Suggested OWASP Top Ten 2004
mapping CWE Content Team. MITRE. 2008-09-08. (Internal) updated Common_Consequences, Relationships, Other_Notes,
Taxonomy_Mappings CWE Content Team. MITRE. 2008-10-14. (Internal) updated Description, Name,
Relationships CWE Content Team. MITRE. 2009-01-12. (Internal) updated Description CWE Content Team. MITRE. 2009-05-27. (Internal) updated Name, Relationships Previous Entry Names Resource
Exhaustion (changed
2008-10-14) Uncontrolled Resource
Consumption (aka 'Resource
Exhaustion') (changed
2009-05-27) |
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Page Last Updated:
May 26, 2009
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