CVE-2024-56650 Detail

CVE-2024-56650

Score / Severity

7.1

High

CVE Descriptions

netfilter: x_tables: fix LED ID check in led_tg_check()

In the Linux kernel, the following vulnerability has been resolved: netfilter: x_tables: fix LED ID check in led_tg_check() Syzbot has reported the following BUG detected by KASAN: BUG: KASAN: slab-out-of-bounds in strlen+0x58/0x70 Read of size 1 at addr ffff8881022da0c8 by task repro/5879 ... Call Trace: dump_stack_lvl+0x241/0x360 ? __pfx_dump_stack_lvl+0x10/0x10 ? __pfx__printk+0x10/0x10 ? _printk+0xd5/0x120 ? __virt_addr_valid+0x183/0x530 ? __virt_addr_valid+0x183/0x530 print_report+0x169/0x550 ? __virt_addr_valid+0x183/0x530 ? __virt_addr_valid+0x183/0x530 ? __virt_addr_valid+0x45f/0x530 ? __phys_addr+0xba/0x170 ? strlen+0x58/0x70 kasan_report+0x143/0x180 ? strlen+0x58/0x70 strlen+0x58/0x70 kstrdup+0x20/0x80 led_tg_check+0x18b/0x3c0 xt_check_target+0x3bb/0xa40 ? __pfx_xt_check_target+0x10/0x10 ? stack_depot_save_flags+0x6e4/0x830 ? nft_target_init+0x174/0xc30 nft_target_init+0x82d/0xc30 ? __pfx_nft_target_init+0x10/0x10 ? nf_tables_newrule+0x1609/0x2980 ? nf_tables_newrule+0x1609/0x2980 ? rcu_is_watching+0x15/0xb0 ? nf_tables_newrule+0x1609/0x2980 ? nf_tables_newrule+0x1609/0x2980 ? __kmalloc_noprof+0x21a/0x400 nf_tables_newrule+0x1860/0x2980 ? __pfx_nf_tables_newrule+0x10/0x10 ? __nla_parse+0x40/0x60 nfnetlink_rcv+0x14e5/0x2ab0 ? __pfx_validate_chain+0x10/0x10 ? __pfx_nfnetlink_rcv+0x10/0x10 ? __lock_acquire+0x1384/0x2050 ? netlink_deliver_tap+0x2e/0x1b0 ? __pfx_lock_release+0x10/0x10 ? netlink_deliver_tap+0x2e/0x1b0 netlink_unicast+0x7f8/0x990 ? __pfx_netlink_unicast+0x10/0x10 ? __virt_addr_valid+0x183/0x530 ? __check_object_size+0x48e/0x900 netlink_sendmsg+0x8e4/0xcb0 ? __pfx_netlink_sendmsg+0x10/0x10 ? aa_sock_msg_perm+0x91/0x160 ? __pfx_netlink_sendmsg+0x10/0x10 __sock_sendmsg+0x223/0x270 ____sys_sendmsg+0x52a/0x7e0 ? __pfx_____sys_sendmsg+0x10/0x10 __sys_sendmsg+0x292/0x380 ? __pfx___sys_sendmsg+0x10/0x10 ? lockdep_hardirqs_on_prepare+0x43d/0x780 ? __pfx_lockdep_hardirqs_on_prepare+0x10/0x10 ? exc_page_fault+0x590/0x8c0 ? do_syscall_64+0xb6/0x230 do_syscall_64+0xf3/0x230 entry_SYSCALL_64_after_hwframe+0x77/0x7f ... Since an invalid (without '\0' byte at all) byte sequence may be passed from userspace, add an extra check to ensure that such a sequence is rejected as possible ID and so never passed to 'kstrdup()' and further.

CVE Informations

Related Weaknesses

CWE-ID	Weakness Name	Source
CWE-125	Out-of-bounds Read The product reads data past the end, or before the beginning, of the intended buffer.

Metrics

Metrics	Score	Severity	CVSS Vector	Source
V3.1	7.1	HIGH	CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H More informations Base: Exploitabilty Metrics The Exploitability metrics reflect the characteristics of the thing that is vulnerable, which we refer to formally as the vulnerable component. Attack Vector This metric reflects the context by which vulnerability exploitation is possible. Local The vulnerable component is not bound to the network stack and the attacker’s path is via read/write/execute capabilities. Attack Complexity This metric describes the conditions beyond the attacker’s control that must exist in order to exploit the vulnerability. Low Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success when attacking the vulnerable component. Privileges Required This metric describes the level of privileges an attacker must possess before successfully exploiting the vulnerability. Low The attacker requires privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources. User Interaction This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable component. None The vulnerable system can be exploited without interaction from any user. Base: Scope Metrics The Scope metric captures whether a vulnerability in one vulnerable component impacts resources in components beyond its security scope. Scope Formally, a security authority is a mechanism (e.g., an application, an operating system, firmware, a sandbox environment) that defines and enforces access control in terms of how certain subjects/actors (e.g., human users, processes) can access certain restricted objects/resources (e.g., files, CPU, memory) in a controlled manner. All the subjects and objects under the jurisdiction of a single security authority are considered to be under one security scope. If a vulnerability in a vulnerable component can affect a component which is in a different security scope than the vulnerable component, a Scope change occurs. Intuitively, whenever the impact of a vulnerability breaches a security/trust boundary and impacts components outside the security scope in which vulnerable component resides, a Scope change occurs. Unchanged An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority. Base: Impact Metrics The Impact metrics capture the effects of a successfully exploited vulnerability on the component that suffers the worst outcome that is most directly and predictably associated with the attack. Analysts should constrain impacts to a reasonable, final outcome which they are confident an attacker is able to achieve. Confidentiality Impact This metric measures the impact to the confidentiality of the information resources managed by a software component due to a successfully exploited vulnerability. High There is a total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server. Integrity Impact This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. None There is no loss of integrity within the impacted component. Availability Impact This metric measures the impact to the availability of the impacted component resulting from a successfully exploited vulnerability. High There is a total loss of availability, resulting in the attacker being able to fully deny access to resources in the impacted component; this loss is either sustained (while the attacker continues to deliver the attack) or persistent (the condition persists even after the attack has completed). Alternatively, the attacker has the ability to deny some availability, but the loss of availability presents a direct, serious consequence to the impacted component (e.g., the attacker cannot disrupt existing connections, but can prevent new connections; the attacker can repeatedly exploit a vulnerability that, in each instance of a successful attack, leaks a only small amount of memory, but after repeated exploitation causes a service to become completely unavailable). Temporal Metrics The Temporal metrics measure the current state of exploit techniques or code availability, the existence of any patches or workarounds, or the confidence in the description of a vulnerability. Environmental Metrics These metrics enable the analyst to customize the CVSS score depending on the importance of the affected IT asset to a user’s organization, measured in terms of Confidentiality, Integrity, and Availability.	[email protected]

EPSS

EPSS is a scoring model that predicts the likelihood of a vulnerability being exploited.

EPSS Score

The EPSS model produces a probability score between 0 and 1 (0 and 100%). The higher the score, the greater the probability that a vulnerability will be exploited.

EPSS Percentile

The percentile is used to rank CVE according to their EPSS score. For example, a CVE in the 95th percentile according to its EPSS score is more likely to be exploited than 95% of other CVE. Thus, the percentile is used to compare the EPSS score of a CVE with that of other CVE.

EPSS First.org