CVE-2023-52644 : Detail

CVE-2023-52644

6.3
/
Medium
0.04%V4
Local
2024-04-17
10h27 +00:00
2024-12-19
08h23 +00:00
CVE.org
NVD
Notifications for a CVE
Stay informed of any changes for a specific CVE.
Notifications manage

CVE Descriptions

wifi: b43: Stop/wake correct queue in DMA Tx path when QoS is disabled

In the Linux kernel, the following vulnerability has been resolved: wifi: b43: Stop/wake correct queue in DMA Tx path when QoS is disabled When QoS is disabled, the queue priority value will not map to the correct ieee80211 queue since there is only one queue. Stop/wake queue 0 when QoS is disabled to prevent trying to stop/wake a non-existent queue and failing to stop/wake the actual queue instantiated. Log of issue before change (with kernel parameter qos=0): [ +5.112651] ------------[ cut here ]------------ [ +0.000005] WARNING: CPU: 7 PID: 25513 at net/mac80211/util.c:449 __ieee80211_wake_queue+0xd5/0x180 [mac80211] [ +0.000067] Modules linked in: b43(O) snd_seq_dummy snd_hrtimer snd_seq snd_seq_device nft_chain_nat xt_MASQUERADE nf_nat xfrm_user xfrm_algo xt_addrtype overlay ccm af_packet amdgpu snd_hda_codec_cirrus snd_hda_codec_generic ledtrig_audio drm_exec amdxcp gpu_sched xt_conntrack nf_conntrack nf_defrag_ipv6 nf_defrag_ipv4 ip6t_rpfilter ipt_rpfilter xt_pkttype xt_LOG nf_log_syslog xt_tcpudp nft_compat nf_tables nfnetlink sch_fq_codel btusb uinput iTCO_wdt ctr btrtl intel_pmc_bxt i915 intel_rapl_msr mei_hdcp mei_pxp joydev at24 watchdog btintel atkbd libps2 serio radeon btbcm vivaldi_fmap btmtk intel_rapl_common snd_hda_codec_hdmi bluetooth uvcvideo nls_iso8859_1 applesmc nls_cp437 x86_pkg_temp_thermal snd_hda_intel intel_powerclamp vfat videobuf2_vmalloc coretemp fat snd_intel_dspcfg crc32_pclmul uvc polyval_clmulni snd_intel_sdw_acpi loop videobuf2_memops snd_hda_codec tun drm_suballoc_helper polyval_generic drm_ttm_helper drm_buddy tap ecdh_generic videobuf2_v4l2 gf128mul macvlan ttm ghash_clmulni_intel ecc tg3 [ +0.000044] videodev bridge snd_hda_core rapl crc16 drm_display_helper cec mousedev snd_hwdep evdev intel_cstate bcm5974 hid_appleir videobuf2_common stp mac_hid libphy snd_pcm drm_kms_helper acpi_als mei_me intel_uncore llc mc snd_timer intel_gtt industrialio_triggered_buffer apple_mfi_fastcharge i2c_i801 mei snd lpc_ich agpgart ptp i2c_smbus thunderbolt apple_gmux i2c_algo_bit kfifo_buf video industrialio soundcore pps_core wmi tiny_power_button sbs sbshc button ac cordic bcma mac80211 cfg80211 ssb rfkill libarc4 kvm_intel kvm drm irqbypass fuse backlight firmware_class efi_pstore configfs efivarfs dmi_sysfs ip_tables x_tables autofs4 dm_crypt cbc encrypted_keys trusted asn1_encoder tee tpm rng_core input_leds hid_apple led_class hid_generic usbhid hid sd_mod t10_pi crc64_rocksoft crc64 crc_t10dif crct10dif_generic ahci libahci libata uhci_hcd ehci_pci ehci_hcd crct10dif_pclmul crct10dif_common sha512_ssse3 sha512_generic sha256_ssse3 sha1_ssse3 aesni_intel usbcore scsi_mod libaes crypto_simd cryptd scsi_common [ +0.000055] usb_common rtc_cmos btrfs blake2b_generic libcrc32c crc32c_generic crc32c_intel xor raid6_pq dm_snapshot dm_bufio dm_mod dax [last unloaded: b43(O)] [ +0.000009] CPU: 7 PID: 25513 Comm: irq/17-b43 Tainted: G W O 6.6.7 #1-NixOS [ +0.000003] Hardware name: Apple Inc. MacBookPro8,3/Mac-942459F5819B171B, BIOS 87.0.0.0.0 06/13/2019 [ +0.000001] RIP: 0010:__ieee80211_wake_queue+0xd5/0x180 [mac80211] [ +0.000046] Code: 00 45 85 e4 0f 85 9b 00 00 00 48 8d bd 40 09 00 00 f0 48 0f ba ad 48 09 00 00 00 72 0f 5b 5d 41 5c 41 5d 41 5e e9 cb 6d 3c d0 <0f> 0b 5b 5d 41 5c 41 5d 41 5e c3 cc cc cc cc 48 8d b4 16 94 00 00 [ +0.000002] RSP: 0018:ffffc90003c77d60 EFLAGS: 00010097 [ +0.000001] RAX: 0000000000000001 RBX: 0000000000000002 RCX: 0000000000000000 [ +0.000001] RDX: 0000000000000000 RSI: 0000000000000002 RDI: ffff88820b924900 [ +0.000002] RBP: ffff88820b924900 R08: ffffc90003c77d90 R09: 000000000003bfd0 [ +0.000001] R10: ffff88820b924900 R11: ffffc90003c77c68 R12: 0000000000000000 [ +0.000001] R13: 0000000000000000 R14: ffffc90003c77d90 R15: ffffffffc0fa6f40 [ +0.000001] FS: 0000000000000000(0000) GS:ffff88846fb80000(0000) knlGS:0000000000000000 [ +0.000001] CS: 0010 DS: 0 ---truncated---

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE Other No informations.

Metrics

Metrics Score Severity CVSS Vector Source
V3.1 6.3 MEDIUM CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/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.

High

successful attack depends on conditions beyond the attacker's control. That is, a successful attack cannot be accomplished at will, but requires the attacker to invest in some measurable amount of effort in preparation or execution against the vulnerable component before a successful attack can be expected.

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.

High

There is a total loss of integrity, or a complete loss of protection. For example, the attacker is able to modify any/all files protected by the impacted component. Alternatively, only some files can be modified, but malicious modification would present a direct, serious consequence to 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) 2.6.26 To (excluding) 4.19.311

Linux>>Linux_kernel >> Version From (including) 4.20 To (excluding) 5.4.273

Linux>>Linux_kernel >> Version From (including) 5.5 To (excluding) 5.10.214

Linux>>Linux_kernel >> Version From (including) 5.11 To (excluding) 5.15.153

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.1.83

Linux>>Linux_kernel >> Version From (including) 6.2 To (excluding) 6.6.23

Linux>>Linux_kernel >> Version From (including) 6.7 To (excluding) 6.7.11

Linux>>Linux_kernel >> Version From (including) 6.8 To (excluding) 6.8.2

Configuraton 0

Debian>>Debian_linux >> Version 10.0

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.