CVE-2025-71201
CVE Descriptions
netfs: Fix early read unlock of page with EOF in middle
In the Linux kernel, the following vulnerability has been resolved: netfs: Fix early read unlock of page with EOF in middle The read result collection for buffered reads seems to run ahead of the completion of subrequests under some circumstances, as can be seen in the following log snippet: 9p_client_res: client 18446612686390831168 response P9_TREAD tag 0 err 0 ... netfs_sreq: R=00001b55[1] DOWN TERM f=192 s=0 5fb2/5fb2 s=5 e=0 ... netfs_collect_folio: R=00001b55 ix=00004 r=4000-5000 t=4000/5fb2 netfs_folio: i=157f3 ix=00004-00004 read-done netfs_folio: i=157f3 ix=00004-00004 read-unlock netfs_collect_folio: R=00001b55 ix=00005 r=5000-5fb2 t=5000/5fb2 netfs_folio: i=157f3 ix=00005-00005 read-done netfs_folio: i=157f3 ix=00005-00005 read-unlock ... netfs_collect_stream: R=00001b55[0:] cto=5fb2 frn=ffffffff netfs_collect_state: R=00001b55 col=5fb2 cln=6000 n=c netfs_collect_stream: R=00001b55[0:] cto=5fb2 frn=ffffffff netfs_collect_state: R=00001b55 col=5fb2 cln=6000 n=8 ... netfs_sreq: R=00001b55[2] ZERO SUBMT f=000 s=5fb2 0/4e s=0 e=0 netfs_sreq: R=00001b55[2] ZERO TERM f=102 s=5fb2 4e/4e s=5 e=0 The 'cto=5fb2' indicates the collected file pos we've collected results to so far - but we still have 0x4e more bytes to go - so we shouldn't have collected folio ix=00005 yet. The 'ZERO' subreq that clears the tail happens after we unlock the folio, allowing the application to see the uncleared tail through mmap. The problem is that netfs_read_unlock_folios() will unlock a folio in which the amount of read results collected hits EOF position - but the ZERO subreq lies beyond that and so happens after. Fix this by changing the end check to always be the end of the folio and never the end of the file. In the future, I should look at clearing to the end of the folio here rather than adding a ZERO subreq to do this. On the other hand, the ZERO subreq can run in parallel with an async READ subreq. Further, the ZERO subreq may still be necessary to, say, handle extents in a ceph file that don't have any backing store and are thus implicitly all zeros. This can be reproduced by creating a file, the size of which doesn't align to a page boundary, e.g. 24998 (0x5fb2) bytes and then doing something like: xfs_io -c "mmap -r 0 0x6000" -c "madvise -d 0 0x6000" \ -c "mread -v 0 0x6000" /xfstest.test/x The last 0x4e bytes should all be 00, but if the tail hasn't been cleared yet, you may see rubbish there. This can be reproduced with kafs by modifying the kernel to disable the call to netfs_read_subreq_progress() and to stop afs_issue_read() from doing the async call for NETFS_READAHEAD. Reproduction can be made easier by inserting an mdelay(100) in netfs_issue_read() for the ZERO-subreq case. AFS and CIFS are normally unlikely to show this as they dispatch READ ops asynchronously, which allows the ZERO-subreq to finish first. 9P's READ op is completely synchronous, so the ZERO-subreq will always happen after. It isn't seen all the time, though, because the collection may be done in a worker thread.CVE Informations
Related Weaknesses
| Weakness Name | Source | |
|---|---|---|
| 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 MetricsThe 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 MetricsThe 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 MetricsThe 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 MetricsThe 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 MetricsThese 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. |
EPSS
EPSS Score
EPSS Percentile
Products Mentioned
Configuraton 0
Linux>>Linux_kernel >> Version From (including) 6.14 To (excluding) 6.18.6
Linux>>Linux_kernel >> Version 6.19
Linux>>Linux_kernel >> Version 6.19
Linux>>Linux_kernel >> Version 6.19
Linux>>Linux_kernel >> Version 6.19
