CVE-2024-47715 : Detail

CVE-2024-47715

5.5
/
Medium
0.03%V4
Local
2024-10-21
11h53 +00:00
2024-12-19
09h26 +00:00
CVE.org
NVD
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CVE Descriptions

wifi: mt76: mt7915: fix oops on non-dbdc mt7986

In the Linux kernel, the following vulnerability has been resolved: wifi: mt76: mt7915: fix oops on non-dbdc mt7986 mt7915_band_config() sets band_idx = 1 on the main phy for mt7986 with MT7975_ONE_ADIE or MT7976_ONE_ADIE. Commit 0335c034e726 ("wifi: mt76: fix race condition related to checking tx queue fill status") introduced a dereference of the phys array indirectly indexed by band_idx via wcid->phy_idx in mt76_wcid_cleanup(). This caused the following Oops on affected mt7986 devices: Unable to handle kernel read from unreadable memory at virtual address 0000000000000024 Mem abort info: ESR = 0x0000000096000005 EC = 0x25: DABT (current EL), IL = 32 bits SET = 0, FnV = 0 EA = 0, S1PTW = 0 FSC = 0x05: level 1 translation fault Data abort info: ISV = 0, ISS = 0x00000005 CM = 0, WnR = 0 user pgtable: 4k pages, 39-bit VAs, pgdp=0000000042545000 [0000000000000024] pgd=0000000000000000, p4d=0000000000000000, pud=0000000000000000 Internal error: Oops: 0000000096000005 [#1] SMP Modules linked in: ... mt7915e mt76_connac_lib mt76 mac80211 cfg80211 ... CPU: 2 PID: 1631 Comm: hostapd Not tainted 5.15.150 #0 Hardware name: ZyXEL EX5700 (Telenor) (DT) pstate: 80400005 (Nzcv daif +PAN -UAO -TCO -DIT -SSBS BTYPE=--) pc : mt76_wcid_cleanup+0x84/0x22c [mt76] lr : mt76_wcid_cleanup+0x64/0x22c [mt76] sp : ffffffc00a803700 x29: ffffffc00a803700 x28: ffffff80008f7300 x27: ffffff80003f3c00 x26: ffffff80000a7880 x25: ffffffc008c26e00 x24: 0000000000000001 x23: ffffffc000a68114 x22: 0000000000000000 x21: ffffff8004172cc8 x20: ffffffc00a803748 x19: ffffff8004152020 x18: 0000000000000000 x17: 00000000000017c0 x16: ffffffc008ef5000 x15: 0000000000000be0 x14: ffffff8004172e28 x13: ffffff8004172e28 x12: 0000000000000000 x11: 0000000000000000 x10: ffffff8004172e30 x9 : ffffff8004172e28 x8 : 0000000000000000 x7 : ffffff8004156020 x6 : 0000000000000000 x5 : 0000000000000031 x4 : 0000000000000000 x3 : 0000000000000001 x2 : 0000000000000000 x1 : ffffff80008f7300 x0 : 0000000000000024 Call trace: mt76_wcid_cleanup+0x84/0x22c [mt76] __mt76_sta_remove+0x70/0xbc [mt76] mt76_sta_state+0x8c/0x1a4 [mt76] mt7915_eeprom_get_power_delta+0x11e4/0x23a0 [mt7915e] drv_sta_state+0x144/0x274 [mac80211] sta_info_move_state+0x1cc/0x2a4 [mac80211] sta_set_sinfo+0xaf8/0xc24 [mac80211] sta_info_destroy_addr_bss+0x4c/0x6c [mac80211] ieee80211_color_change_finish+0x1c08/0x1e70 [mac80211] cfg80211_check_station_change+0x1360/0x4710 [cfg80211] genl_family_rcv_msg_doit+0xb4/0x110 genl_rcv_msg+0xd0/0x1bc netlink_rcv_skb+0x58/0x120 genl_rcv+0x34/0x50 netlink_unicast+0x1f0/0x2ec netlink_sendmsg+0x198/0x3d0 ____sys_sendmsg+0x1b0/0x210 ___sys_sendmsg+0x80/0xf0 __sys_sendmsg+0x44/0xa0 __arm64_sys_sendmsg+0x20/0x30 invoke_syscall.constprop.0+0x4c/0xe0 do_el0_svc+0x40/0xd0 el0_svc+0x14/0x4c el0t_64_sync_handler+0x100/0x110 el0t_64_sync+0x15c/0x160 Code: d2800002 910092c0 52800023 f9800011 (885f7c01) ---[ end trace 7e42dd9a39ed2281 ]--- Fix by using mt76_dev_phy() which will map band_idx to the correct phy for all hardware combinations.

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE Other No informations.

Metrics

Metrics Score Severity CVSS Vector Source
V3.1 5.5 MEDIUM CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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.

None

There is no loss of confidentiality within the impacted component.

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.

 nvd@nist.gov

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

Products Mentioned

Configuraton 0

Linux>>Linux_kernel >> Version From (including) 6.6.48 To (excluding) 6.6.54

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.10.13

Linux>>Linux_kernel >> Version From (including) 6.11 To (excluding) 6.11.2

References

The information presented on CVE Find originates from several carefully selected reference sources. CVE data is provided by MITRE Corporation and the National Vulnerability Database (NVD). The Known Exploited Vulnerabilities (KEV) catalog is sourced from the Cybersecurity and Infrastructure Security Agency (CISA), while EPSS scores come from FIRST.org. Additionally, data regarding software weaknesses (CWE) and common attack patterns (CAPEC) is maintained by MITRE Corporation, and information on hardware and software configurations (CPE) is provided by the NVD.