CVE-2022-48954 : Detail

CVE-2022-48954

7.8
/
High
Memory Corruption
0.03%V4
Local
2024-10-21
20h05 +00:00
2024-12-19
08h11 +00:00
CVE.org
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CVE Descriptions

s390/qeth: fix use-after-free in hsci

In the Linux kernel, the following vulnerability has been resolved: s390/qeth: fix use-after-free in hsci KASAN found that addr was dereferenced after br2dev_event_work was freed. ================================================================== BUG: KASAN: use-after-free in qeth_l2_br2dev_worker+0x5ba/0x6b0 Read of size 1 at addr 00000000fdcea440 by task kworker/u760:4/540 CPU: 17 PID: 540 Comm: kworker/u760:4 Tainted: G E 6.1.0-20221128.rc7.git1.5aa3bed4ce83.300.fc36.s390x+kasan #1 Hardware name: IBM 8561 T01 703 (LPAR) Workqueue: 0.0.8000_event qeth_l2_br2dev_worker Call Trace: [<000000016944d4ce>] dump_stack_lvl+0xc6/0xf8 [<000000016942cd9c>] print_address_description.constprop.0+0x34/0x2a0 [<000000016942d118>] print_report+0x110/0x1f8 [<0000000167a7bd04>] kasan_report+0xfc/0x128 [<000000016938d79a>] qeth_l2_br2dev_worker+0x5ba/0x6b0 [<00000001673edd1e>] process_one_work+0x76e/0x1128 [<00000001673ee85c>] worker_thread+0x184/0x1098 [<000000016740718a>] kthread+0x26a/0x310 [<00000001672c606a>] __ret_from_fork+0x8a/0xe8 [<00000001694711da>] ret_from_fork+0xa/0x40 Allocated by task 108338: kasan_save_stack+0x40/0x68 kasan_set_track+0x36/0x48 __kasan_kmalloc+0xa0/0xc0 qeth_l2_switchdev_event+0x25a/0x738 atomic_notifier_call_chain+0x9c/0xf8 br_switchdev_fdb_notify+0xf4/0x110 fdb_notify+0x122/0x180 fdb_add_entry.constprop.0.isra.0+0x312/0x558 br_fdb_add+0x59e/0x858 rtnl_fdb_add+0x58a/0x928 rtnetlink_rcv_msg+0x5f8/0x8d8 netlink_rcv_skb+0x1f2/0x408 netlink_unicast+0x570/0x790 netlink_sendmsg+0x752/0xbe0 sock_sendmsg+0xca/0x110 ____sys_sendmsg+0x510/0x6a8 ___sys_sendmsg+0x12a/0x180 __sys_sendmsg+0xe6/0x168 __do_sys_socketcall+0x3c8/0x468 do_syscall+0x22c/0x328 __do_syscall+0x94/0xf0 system_call+0x82/0xb0 Freed by task 540: kasan_save_stack+0x40/0x68 kasan_set_track+0x36/0x48 kasan_save_free_info+0x4c/0x68 ____kasan_slab_free+0x14e/0x1a8 __kasan_slab_free+0x24/0x30 __kmem_cache_free+0x168/0x338 qeth_l2_br2dev_worker+0x154/0x6b0 process_one_work+0x76e/0x1128 worker_thread+0x184/0x1098 kthread+0x26a/0x310 __ret_from_fork+0x8a/0xe8 ret_from_fork+0xa/0x40 Last potentially related work creation: kasan_save_stack+0x40/0x68 __kasan_record_aux_stack+0xbe/0xd0 insert_work+0x56/0x2e8 __queue_work+0x4ce/0xd10 queue_work_on+0xf4/0x100 qeth_l2_switchdev_event+0x520/0x738 atomic_notifier_call_chain+0x9c/0xf8 br_switchdev_fdb_notify+0xf4/0x110 fdb_notify+0x122/0x180 fdb_add_entry.constprop.0.isra.0+0x312/0x558 br_fdb_add+0x59e/0x858 rtnl_fdb_add+0x58a/0x928 rtnetlink_rcv_msg+0x5f8/0x8d8 netlink_rcv_skb+0x1f2/0x408 netlink_unicast+0x570/0x790 netlink_sendmsg+0x752/0xbe0 sock_sendmsg+0xca/0x110 ____sys_sendmsg+0x510/0x6a8 ___sys_sendmsg+0x12a/0x180 __sys_sendmsg+0xe6/0x168 __do_sys_socketcall+0x3c8/0x468 do_syscall+0x22c/0x328 __do_syscall+0x94/0xf0 system_call+0x82/0xb0 Second to last potentially related work creation: kasan_save_stack+0x40/0x68 __kasan_record_aux_stack+0xbe/0xd0 kvfree_call_rcu+0xb2/0x760 kernfs_unlink_open_file+0x348/0x430 kernfs_fop_release+0xc2/0x320 __fput+0x1ae/0x768 task_work_run+0x1bc/0x298 exit_to_user_mode_prepare+0x1a0/0x1a8 __do_syscall+0x94/0xf0 system_call+0x82/0xb0 The buggy address belongs to the object at 00000000fdcea400 which belongs to the cache kmalloc-96 of size 96 The buggy address is located 64 bytes inside of 96-byte region [00000000fdcea400, 00000000fdcea460) The buggy address belongs to the physical page: page:000000005a9c26e8 refcount:1 mapcount:0 mapping:0000000000000000 index:0x0 pfn:0xfdcea flags: 0x3ffff00000000200(slab|node=0|zone=1|lastcpupid=0x1ffff) raw: 3ffff00000000200 0000000000000000 0000000100000122 000000008008cc00 raw: 0000000000000000 0020004100000000 ffffffff00000001 0000000000000000 page dumped because: kasan: bad access detected Memory state around the buggy address: 00000000fdcea300: fb fb fb fb fb fb fb fb fb fb fb fb fc fc fc fc 00000000fdcea380: fb fb fb fb fb fb f ---truncated---

CVE Informations

Related Weaknesses

CWE-ID Weakness Name Source
CWE-416 Use After Free
The product reuses or references memory after it has been freed. At some point afterward, the memory may be allocated again and saved in another pointer, while the original pointer references a location somewhere within the new allocation. Any operations using the original pointer are no longer valid because the memory "belongs" to the code that operates on the new pointer.

Metrics

Metrics Score Severity CVSS Vector Source
V3.1 7.8 HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/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.

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.

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) 5.15 To (excluding) 5.15.83

Linux>>Linux_kernel >> Version From (including) 5.16 To (excluding) 6.0.13

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

Linux>>Linux_kernel >> Version 6.1

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.