Vulnerabilities > CVE-2024-45012 - Allocation of Resources Without Limits or Throttling vulnerability in Linux Kernel
Summary
In the Linux kernel, the following vulnerability has been resolved: nouveau/firmware: use dma non-coherent allocator Currently, enabling SG_DEBUG in the kernel will cause nouveau to hit a BUG() on startup, when the iommu is enabled: kernel BUG at include/linux/scatterlist.h:187! invalid opcode: 0000 [#1] PREEMPT SMP NOPTI CPU: 7 PID: 930 Comm: (udev-worker) Not tainted 6.9.0-rc3Lyude-Test+ #30 Hardware name: MSI MS-7A39/A320M GAMING PRO (MS-7A39), BIOS 1.I0 01/22/2019 RIP: 0010:sg_init_one+0x85/0xa0 Code: 69 88 32 01 83 e1 03 f6 c3 03 75 20 a8 01 75 1e 48 09 cb 41 89 54 24 08 49 89 1c 24 41 89 6c 24 0c 5b 5d 41 5c e9 7b b9 88 00 <0f> 0b 0f 0b 0f 0b 48 8b 05 5e 46 9a 01 eb b2 66 66 2e 0f 1f 84 00 RSP: 0018:ffffa776017bf6a0 EFLAGS: 00010246 RAX: 0000000000000000 RBX: ffffa77600d87000 RCX: 000000000000002b RDX: 0000000000000001 RSI: 0000000000000000 RDI: ffffa77680d87000 RBP: 000000000000e000 R08: 0000000000000000 R09: 0000000000000000 R10: ffff98f4c46aa508 R11: 0000000000000000 R12: ffff98f4c46aa508 R13: ffff98f4c46aa008 R14: ffffa77600d4a000 R15: ffffa77600d4a018 FS: 00007feeb5aae980(0000) GS:ffff98f5c4dc0000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007f22cb9a4520 CR3: 00000001043ba000 CR4: 00000000003506f0 Call Trace: <TASK> ? die+0x36/0x90 ? do_trap+0xdd/0x100 ? sg_init_one+0x85/0xa0 ? do_error_trap+0x65/0x80 ? sg_init_one+0x85/0xa0 ? exc_invalid_op+0x50/0x70 ? sg_init_one+0x85/0xa0 ? asm_exc_invalid_op+0x1a/0x20 ? sg_init_one+0x85/0xa0 nvkm_firmware_ctor+0x14a/0x250 [nouveau] nvkm_falcon_fw_ctor+0x42/0x70 [nouveau] ga102_gsp_booter_ctor+0xb4/0x1a0 [nouveau] r535_gsp_oneinit+0xb3/0x15f0 [nouveau] ? srso_return_thunk+0x5/0x5f ? srso_return_thunk+0x5/0x5f ? nvkm_udevice_new+0x95/0x140 [nouveau] ? srso_return_thunk+0x5/0x5f ? srso_return_thunk+0x5/0x5f ? ktime_get+0x47/0xb0 Fix this by using the non-coherent allocator instead, I think there might be a better answer to this, but it involve ripping up some of APIs using sg lists.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
Common Attack Pattern Enumeration and Classification (CAPEC)
- Locate and Exploit Test APIs An attacker exploits a sample, demonstration, or test API that is insecure by default and should not be resident on production systems. Some applications include APIs that are intended to allow an administrator to test and refine their domain. These APIs should usually be disabled once a system enters a production environment. Testing APIs may expose a great deal of diagnostic information intended to aid an administrator, but which can also be used by an attacker to further refine their attack. Moreover, testing APIs may not have adequate security controls or may not have undergone rigorous testing since they were not intended for use in production environments. As such, they may have many flaws and vulnerabilities that would allow an attacker to severely disrupt a target.
- Flooding An attacker 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 control in management of interactions. Since each request consumes some of the target's resources, if a sufficiently large number of requests must be processed at the same time then the target's resources can be exhausted. The degree to which the attack is successful depends upon the volume of requests in relation to the amount of the resource the target has access to, and other mitigating circumstances such as the target's ability to shift load or acquired additional resources to deal with the depletion. The more protected the resource and the greater the quantity of it that must be consumed, the more resources the attacker may need to have at their disposal. A typical TCP/IP flooding attack is a Distributed Denial-of-Service attack where many machines simultaneously make a large number of requests to a target. Against a target with strong defenses and a large pool of resources, many tens of thousands of attacking machines may be required. 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 attacker can make in a given period of time. The greater this number, the more likely an attack is to succeed against a given target.
- Excessive Allocation An attacker 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. For example, using an Integer Attack, the attacker could cause a variable that controls allocation for a request to hold an excessively large value. Excessive allocation of resources can render a service degraded or unavailable to legitimate users and can even lead to crashing of the target.
- 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.
- XML Entity Expansion An attacker submits an XML document to a target application where the XML document uses nested entity expansion to produce an excessively large output XML. XML allows 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.