7.5 CVE-2024-1737

DOS
 

Resolver caches and authoritative zone databases that hold significant numbers of RRs for the same hostname (of any RTYPE) can suffer from degraded performance as content is being added or updated, and also when handling client queries for this name. This issue affects BIND 9 versions 9.11.0 through 9.11.37, 9.16.0 through 9.16.50, 9.18.0 through 9.18.27, 9.19.0 through 9.19.24, 9.11.4-S1 through 9.11.37-S1, 9.16.8-S1 through 9.16.50-S1, and 9.18.11-S1 through 9.18.27-S1.
https://nvd.nist.gov/vuln/detail/CVE-2024-1737

Categories

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 restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor. Manual static analysis can be useful for finding this weakness, but it might not achieve desired code coverage within limited time constraints. If denial-of-service is not considered a significant risk, or if there is strong emphasis on consequences such as code execution, then manual analysis may not focus on this weakness at all. Certain automated dynamic analysis techniques may be effective in producing side effects of uncontrolled resource allocation problems, especially with resources such as processes, memory, and connections. The technique may involve generating a large number of requests to the product within a short time frame. Manual analysis is likely required to interpret the results. Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits. 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. 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. 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. Ensure that protocols have specific limits of scale placed on them. Chain: Python library does not limit the resources used to process images that specify a very large number of bands (CWE-1284), leading to excessive memory consumption (CWE-789) or an integer overflow (CWE-190). Language interpreter does not restrict the number of temporary files being created when handling a MIME request with a large number of parts.. Driver does not use a maximum width when invoking sscanf style functions, causing stack consumption. Large integer value for a length property in an object causes a large amount of memory allocation. Product allows exhaustion of file descriptors when processing a large number of TCP packets. Communication product allows memory consumption with a large number of SIP requests, which cause many sessions to be created. Product allows attackers to cause a denial of service via a large number of directives, each of which opens a separate window. CMS does not restrict the number of searches that can occur simultaneously, leading to resource exhaustion. web application scanner attempts to read an excessively large file created by a user, causing process termination Go-based workload orchestrator does not limit resource usage with unauthenticated connections, allowing a DoS by flooding the service

References


 

CPE

cpe start end


REMEDIATION




EXPLOITS


Exploit-db.com

id description date
No known exploits

POC Github

Url
No known exploits

Other Nist (github, ...)

Url
No known exploits


CAPEC


Common Attack Pattern Enumerations and Classifications

id description severity
125 Flooding
Medium
130 Excessive Allocation
Medium
147 XML Ping of the Death
Medium
197 Exponential Data Expansion
Medium
229 Serialized Data Parameter Blowup
High
230 Serialized Data with Nested Payloads
High
231 Oversized Serialized Data Payloads
High
469 HTTP DoS
Low
482 TCP Flood
486 UDP Flood
487 ICMP Flood
488 HTTP Flood
489 SSL Flood
490 Amplification
491 Quadratic Data Expansion
493 SOAP Array Blowup
494 TCP Fragmentation
495 UDP Fragmentation
496 ICMP Fragmentation
528 XML Flood
Medium


MITRE


Techniques

id description
T1498.001 Network Denial of Service: Direct Network Flood
T1498.002 Network Denial of Service:Reflection Amplification
T1499 Endpoint Denial of Service
T1499.001 Endpoint Denial of Service: OS Exhaustion Flood
T1499.002 Endpoint Denial of Service: Service Exhaustion Flood
T1499.003 Endpoint Denial of Service:Application Exhaustion Flood
© 2022 The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

Mitigations

id description
T1498.001 When flood volumes exceed the capacity of the network connection being targeted, it is typically necessary to intercept the incoming traffic upstream to filter out the attack traffic from the legitimate traffic. Such defenses can be provided by the hosting Internet Service Provider (ISP) or by a 3rd party such as a Content Delivery Network (CDN) or providers specializing in DoS mitigations. Depending on flood volume, on-premises filtering may be possible by blocking source addresses sourcing the attack, blocking ports that are being targeted, or blocking protocols being used for transport. As immediate response may require rapid engagement of 3rd parties, analyze the risk associated to critical resources being affected by Network DoS attacks and create a disaster recovery plan/business continuity plan to respond to incidents.
T1498.002 When flood volumes exceed the capacity of the network connection being targeted, it is typically necessary to intercept the incoming traffic upstream to filter out the attack traffic from the legitimate traffic. Such defenses can be provided by the hosting Internet Service Provider (ISP) or by a 3rd party such as a Content Delivery Network (CDN) or providers specializing in DoS mitigations. Depending on flood volume, on-premises filtering may be possible by blocking source addresses sourcing the attack, blocking ports that are being targeted, or blocking protocols being used for transport. As immediate response may require rapid engagement of 3rd parties, analyze the risk associated to critical resources being affected by Network DoS attacks and create a disaster recovery plan/business continuity plan to respond to incidents.
T1499 Leverage services provided by Content Delivery Networks (CDN) or providers specializing in DoS mitigations to filter traffic upstream from services. Filter boundary traffic by blocking source addresses sourcing the attack, blocking ports that are being targeted, or blocking protocols being used for transport. To defend against SYN floods, enable SYN Cookies.
T1499.001 Leverage services provided by Content Delivery Networks (CDN) or providers specializing in DoS mitigations to filter traffic upstream from services. Filter boundary traffic by blocking source addresses sourcing the attack, blocking ports that are being targeted, or blocking protocols being used for transport. To defend against SYN floods, enable SYN Cookies.
T1499.002 Leverage services provided by Content Delivery Networks (CDN) or providers specializing in DoS mitigations to filter traffic upstream from services. Filter boundary traffic by blocking source addresses sourcing the attack, blocking ports that are being targeted, or blocking protocols being used for transport.
T1499.003 Leverage services provided by Content Delivery Networks (CDN) or providers specializing in DoS mitigations to filter traffic upstream from services. Filter boundary traffic by blocking source addresses sourcing the attack, blocking ports that are being targeted, or blocking protocols being used for transport.
© 2022 The MITRE Corporation. Esta obra se reproduce y distribuye con el permiso de The MITRE Corporation.