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CVSS: 4.7 CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:H 🐛 CWE-770
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2026-71219

CVE-2026-71219 Denial of Service in Gfs2 Utils
📅 PUBLISHED: 2026-09-03 00:00 UTC 🔄 UPDATED: 2026-10-02 19:21 UTC
[ ZERO-DAY / UNPATCHED ] [ DEFENSE PATCH ↓ ]
💣 PoC: Public
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.12%
👁️
0.12% probability
2.9× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1204
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
Country: USA License: Commercial
VULNERABLE: Enterprise Linux
CVSS VECTOR BREAKDOWN 4.7
AV: L Attack Vector Local
AC: H Attack Complexity High
PR: N Privileges Required None
UI: R User Interaction Required
S: U Scope Unchanged
C: N Confidentiality None
I: N Integrity None
A: H Availability High
4.7
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

CVE-2026-71219 — Threat Intelligence Report

Analysis Date: 2026
Classification: Local Denial-of-Service via Stack Overflow in GFS2 Filesystem Parsing Utilities


Executive Summary

CVE-2026-71219 describes a stack overflow vulnerability in the GFS2 filesystem utilities suite (gfs2-utils). The flaw is triggered when hash table traversal code in metawalk.c uses the alloca() function with a size derived in an exponential fashion from the untrusted on-disk di_depth field, without performing bounds validation. A maliciously crafted GFS2 filesystem image carrying an extremely large di_depth value causes stack exhaustion, resulting in a denial-of-service condition when the image is processed by the command-line tools fsck.gfs2, gfs2_edit, or savemeta. Because these tools are commonly run by system administrators on recovered or forensic filesystem images, the impact is a localized availability loss on the processing host, with no integrity or confidentiality implications.

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›Detection rules — YARA · Wazuh · Elastic (all plans) · Sigma (Pro)
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Technical Analysis

The vulnerable code resides within metawalk.c, a component of the gfs2-utils toolkit responsible for iterative traversal of filesystem metadata structures. GFS2 (Global File System 2) organizes metadata in a multi-level hash table indexed by a tree depth parameter known as di_depth. This value is read directly from the on-disk metadata structure and defines the number of levels the traversal routine must recurse through.

The specific flaw is rooted in the use of alloca() — a function that allocates memory on the stack — with a buffer size calculated as an exponential expression of di_depth (e.g., a 2^n growth pattern). Under normal circumstances, GFS2 constrains di_depth to a small fixed range (typically ≤ 32 levels). However, because the parsing code fails to validate that the on-disk di_depth value falls within that legal range, a corrupted or malicious filesystem image can advertise an arbitrarily large depth.

When the traverser computes the exponential allocation size from this unchecked value, it submits an enormous stack allocation request. Stack memory is finite and non-heap; attempting to allocate a multi-gigabyte or terabyte-size buffer on the stack triggers immediate stack exhaustion — either by direct failure propagation from alloca() or, more typically, by writing past the stack guard page into adjacent protected memory, aborting the process with SIGSEGV. The result is an unrecoverable denial of service: the tool terminates mid-run without producing a usable filesystem check or metadata dump.

The attack surface is exclusively local. An attacker must present a crafted filesystem image file to one of the affected utilities. Realistic delivery vectors include:

  • A malicious disk image provided to a forensic analyst for examination.
  • An external storage device attached by an unsuspecting user, subsequently mounted and scanned by an automated recovery or health-check script.
  • A file share where an administrator runs scheduled filesystem integrity checks with fsck.gfs2.

The CVSS score of 4.7 (AV:L/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:H) reflects these constraints: local attack vector, high attack complexity, no privilege requirement but user interaction is required, and the sole impact being high availability loss with no confidentiality or integrity compromise.


Exploitation Scenarios

No public PoC is available at the time of writing; the attack chain described below is inferred from the vulnerability class (unvalidated length field leading to stack exhaustion) and the technical details present in the official NVD description.

Step 1: Target Identification
An attacker must first identify a system where the GFS2 utilities are installed and will be invoked on externally supplied filesystem images. Because these tools are typically run by administrators, system owners, or forensic investigators, the attacker cannot remotely "scan" for the target. Instead, the attacker relies on social engineering, physical access, or supply-chain manipulation to deliver the malicious image to the victim's processing pipeline.

Step 2: Crafting the Malicious Image
The attacker constructs a GFS2 filesystem image (or modifies a legitimate one) in which the metadata structure for a file or directory contains an invalid di_depth field sized to a value far exceeding the legitimate maximum. The on-disk format of GFS2 allows this field to be placed in the metadata block header — the attacker can simply patch the bytes at the appropriate offset to set di_depth to a large number (e.g., 0xFFFFFFFF). No checksum or signature validation is applied by the tools before the field is consumed by the hash table traversal routine.

Step 3: Triggering the Vulnerability
The crafted image is delivered to the victim and processed by one of the affected utilities:

  • fsck.gfs2 /path/to/image — run by an administrator to validate a filesystem before mounting.
  • gfs2_edit savemeta /path/to/image — used by analysts to extract metadata for investigation.
  • savemeta invoked directly as a standalone tool.

During traversal of the corrupted metadata tree, the code in metawalk.c extracts the di_depth value and computes the alloca() size via an exponential formula. With a large di_depth, the multiplication yields a stack allocation request on the order of megabytes or gigabytes. The alloca() call exhausts the process stack. Execution halts with a segmentation fault or stack-overflow abort.

Step 4: Post-Exploitation Impact
The utility crashes immediately, yielding a denial-of-service condition. The attacker gains no code execution, no privilege escalation, and no data disclosure — the exploit is purely a reliability attack. The maximum realistic impact is that the target loses the ability to inspect, validate, or recover the GFS2 filesystem until the malicious image is removed and the tool is re-run on a clean copy. In environments where these tools are invoked in an automated pipeline (e.g., CI/CD filesystem validation jobs), a crash could stall ancillary processes and require manual intervention.


Impact Assessment

Business Impact: The vulnerability constitutes a high-availability threat confined to the processing host. Because GFS2 utilities are typically used on high-availability clusters or storage systems, an attacker who delivers a crafted image could force an administrator to spend time re-validating media — a nuisance in most cases but potentially disrupting in tight maintenance windows during cluster file-system repairs. No data loss occurs on the underlying GFS2 volume itself (the tools do not modify the image prior to the crash in the parsing phase); however, tools that were in the middle of multi-step repair workflows may leave the filesystem in an inconsistent state if interrupted mid-operation.

Affected Systems: Any installation of gfs2-utils, including:

  • RHEL/CentOS and other enterprise Linux distributions that package gfs2-utils.
  • Custom-built GFS2 tooling used in distributed or cluster storage environments.
  • Forensic workstations running Linux where gfs2_edit is used for evidence extraction.

Blast Radius: The attack is strictly local; the CVSS vector (AV:L/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:H) scores this as a medium-severity issue (4.7). Attack complexity is high because the attacker must reliably cause the utility to reach the parsing path with the crafted field — if a simple image parser rejects the file earlier for other inconsistencies, the crash may not occur deterministically. User interaction (UI:R) is required because a human must invoke the tool against the malicious file. No confidentiality (C:N) or integrity (I:N) impact exists.


Detection Guidance

Detection of this attack is challenging because the malicious payload is a filesystem image rather than a network packet or a straightforward executable. Detection must therefore focus on observing abnormal behavior of the GFS2 utilities themselves and on inspecting disk images for anomalously large di_depth markers before they are processed.

Sigma Rule

title: GFS2 Utilities Crash or Stack Overflow via Malicious Filesystem Image
id: 8d4f2a60-3c6e-4c7b-a1e5-6d9f8a2b4c01
status: experimental
description: Detects abnormal termination of gfs2-utils components (fsck.gfs2, gfs2_edit, savemeta) that may indicate exploitation of CVE-2026-71219 (stack exhaustion via alloca() with untrusted di_depth field).
logsource:
  category: process_creation
  product: linux
detection:
  selection:
    Image|endswith:
      - '/usr/sbin/fsck.gfs2'
      - '/usr/sbin/gfs2_edit'
      - '/usr/sbin/savemeta'
  condition_full_abort:
    selection
    Image|endswith:
      - '/usr/sbin/fsck.gfs2'
      - '/usr/sbin/gfs2_edit'
      - '/usr/sbin/savemeta'
    ExitCode:
      - 139   # SIGSEGV (segmentation fault)
      - 134   # SIGABRT (abort signal)
  condition: condition_full_abort
fields:
  - Image
  - CommandLine
  - ExitCode
  - User
falsepositives:
  - Legitimate crashes due to actual filesystem corruption unrelated to malicious attack
  - Known bug in specific gfs2-utils version triggering the same code path
level: medium
tags:
  - attack.t1204
  - cve.2026-71219

YARA Rule

rule CVE_2026_71219_GFS2_DiDepth_Overflow
{
    meta:
        description = "Detects crafted GFS2 filesystem images containing an abnormally large di_depth field that may trigger stack exhaustion in metawalk.c (CVE-2026-71219)"
        author = "valtersit.com SOC"
        date = "2026-01-01"
        reference = "NVD CVE-2026-71219"
        severity = "medium"
    strings:
        $gfs2_magic = { 01 16 19 70 }                 /* GFS2 filesystem magic bytes (0x01161970) */
        $di_depth_at_offset_0x18 = { FF FF FF FF }     /* 4-byte di_depth marker at metadata offset */
        // Note: GFS2 metadata block header is 32 bytes; di_depth resides in the owner_info field
        // We flag the four FF bytes corresponding to a maxed-out 32-bit depth value.
    condition:
        uint32(0) == 0x01161970
        and $di_depth_at_offset_0x18 in (0x100 .. filesize - 4)
        and for any i in (0x20..0x4000) : (uint32(i) == 0xFFFFFFFF)
}

Note: The YARA rule relies on the filesystem magic number on the first block of the image (0x01161970) and searches for the 4-byte pattern 0xFFFFFFFF at offsets within the metadata header region. A targeted detection can be achieved by scanning files for a GFS2 superblock and then inspecting the first N metadata blocks for a .di_depth value exceeding the legitimate bound of 32. Adjust the heuristic to your environment’s required sensitivity.

Suricata IDS Rule

alert tcp any any -> any any (msg:"CVE-2026-71219 Potential GFS2 Disk Image Transfer Indicating Malicious di_depth Field"; flow:established; content:"|01 16 19 70|"; content:"|FF FF FF FF|"; within:1000; reference:cve,2026-71219; classtype:attempted-dos; sid:202607121901; rev:1;)

Reasoning: Network-level detection of this CVE is only feasible if a crafted GFS2 image is being transferred over the wire (e.g., via NFS, SMB, or HTTP download). The rule matches on the GFS2 magic bytes (0x01161970) appearing in a TCP stream, followed by a 4-byte 0xFFFFFFFF sequence within the same payload segment — a signature consistent with an extreme di_depth. Because the legitimate maximum is small (typically 32, i.e., 0x20), any 0xFFFFFFFF occurrence inside a GFS2 metadata block is suspicious. This rule is inherently noisy, as normal GFS2 images may randomly contain 0xFFFFFFFF data bytes; higher fidelity would require deep packet inspection of an embedded filesystem block context that Suricata cannot reliably parse. Adjust within parameter and add stream size discipline as needed.

Elastic Detection

// Detect crashes of GFS2 utilities potentially caused by CVE-2026-71219
sequence by host.name with maxspan=1m
  [process where
     process.name in ("fsck.gfs2", "gfs2_edit", "savemeta") and
     event.action == "exec"]
  [process where
     process.name in ("fsck.gfs2", "gfs2_edit", "savemeta") and
     event.action in ("exit", "end") and
     process.exit_code in (139, 134)]

Explanation: This EQL rule correlates process start events with abnormal exit codes (139 = SIGSEGV, 134 = SIGABRT) for the three vulnerable utilities within a one-minute window. A single failed invocation could be a false positive caused by genuine filesystem corruption; for higher fidelity, require a frequency threshold (e.g., 3+ occurrences in 10 minutes) or combine with the presence of a disk-image file path in the process arguments.

Splunk SPL Query

index=linux sourcetype=process_metadata OR sourcetype=syslog
  (process_name IN ("fsck.gfs2","gfs2_edit","savemeta")
   OR (process_name ENDS WITH "/fsck.gfs2"
       OR process_name ENDS WITH "/gfs2_edit"
       OR process_name ENDS WITH "/savemeta"))
  AND (exit_code IN (139,134)
       OR signal_name IN ("SIGSEGV","SIGABRT")
       OR message LIKE "*stack overflow*"
       OR message LIKE "*alloca*")
| stats count BY host, process_name, exit_code, command_line, _time
| where count >= 1
| sort - _time

Explanation: The query searches process execution logs and syslog messages across Linux endpoints for the invocation of any GFS2 utility coupled with evidence of abnormal termination — either a process exit code of 139/134, a kernel signal, or a stack-overflow diagnostic message. Use as a hunting query; alert on it if repeated failures indicate a deliberate attempt.

Wazuh OSSEC Rule

<group name="gfs2,">
  <rule id="119121" level="7">
    <if_sid>571</if_sid>
    <match>fsck.gfs2|gfs2_edit|savemeta</match>
    <description>GFS2 utility (fsck.gfs2, gfs2_edit, savemeta) invoked on a filesystem</description>
    <group>gfs2,process_monitor,</group>
  </rule>

  <rule id="119122" level="10">
    <if_sid>119121</if_sid>
    <match>Segmentation fault|stack smashing|alloca</match>
    <description>CVE-2026-71219: GFS2 utility crashed with stack exhaustion signature — suspected crafted filesystem image with malicious di_depth</description>
    <group>gfs2,attack,execution,</group>
    <alert_email>soc@valtersit.com</alert_email>
  </rule>

  <rule id="119123" level="8">
    <if_sid>119121</if_sid>
    <regex>\.gfs2|\.img|\.image|raw|dd</regex>
    <description>GFS2 utility processing a raw disk image — consider static-scanning the image for di_depth anomalies prior to execution (see CVE-2026-71219)</description>
    <group>gfs2,pci_dss_6.5.2,gpg13_4.5,</group>
  </rule>
</group>

Explanation: The first rule acts as a pre-trigger — it matches on any invocation of the GFS2 tools. The second rule (level 10) alerts on process-crash diagnostics captured in the logs. The third rule provides context when a disk-image argument is present, prompting analysts to perform pre-scan inspection.


Mitigation & Patch Guidance

Patch confidence: 0/4 — UNPATCHED. No patch evidence has been identified from any vendor source as of the date of this report. The upstream project (gfs2-utils) has not issued any fix, version bump, or advisory. Organizations should not delay containment on the assumption of a vendor-supplied fix arriving imminently.

Immediate Mitigations (No Patch Available)

  1. Restrict invocation of GFS2 utilities to trusted contexts. Do not run fsck.gfs2, gfs2_edit, or savemeta against filesystem images obtained from untrusted external sources (e.g., USB drives, untrusted partitions attached to cluster nodes). If the tool must process third-party media, do so in an isolated VM or sandbox where a segmentation fault does not impact production operations.
  2. Pre-scan image files for anomalies before processing. Use a simple script to parse the first N metadata blocks (e.g., using dd + xxd or a Python one-liner) to locate the GFS2 file metadata header structure (offset 0x28 within the metadata block) and assert that the 4-byte di_depth field does not exceed 0x20. If an image fails this check, quarantine it prior to processing.
  3. Set the process stack size limit below exploitable thresholds. Wrapping invocation in a shell script that calls ulimit -s 2048 reduces the amount of memory the stack can consume; however, this merely changes the failure mode from a segmentation fault to a different abort condition, so it is not a complete mitigation — treat it as a blast-radius reducer for other potential stack issues.
  4. Enable kernel panic_on_stackoverflow and monitor for watchdog timeouts to fail fast if a stack overflow occurs, rather than hanging the system in an indeterminate state.

Patch / Upgrade Steps

  • Subscribe to the GFS2 development mailing list and monitor Red Hat Bugzilla for a CVE-2026-71219 entry; check for announcements from the gfs2-utils maintainers for the next release containing bounds-checking on di_depth (fix should cap the value to ≤ 32 before passing it to the hash-mask exponentiation). When a fixed version ships, update all cluster nodes that host the utilities.
  • Perform regression testing against legitimate GFS2 images before mass rollout.

Long-Term Hardening

  1. Run fsck/gfs2_edit in a constrained environment: place the utilities inside a minimal container or a dedicated forensic virtual machine with read-only access to images.
  2. Harden the local filesystem: deploy SELinux or AppArmor profiles that restrict the execution contexts of fsck.gfs2 and related binaries to a narrow set of allowed paths and capabilities.
  3. Implement fuzzing in your own CI/CD: add GFS2 image-structure fuzzing to your testing pipeline so that future similar corruption issues are caught before release to the public ecosystem.
  4. Diversify forensic tooling: for critical filesystems, use alternative read-only inspection tools (e.g., debugfs equivalents, or statically compiled custom parsers) that do not share the same code base as metawalk.c.

References

  1. NVD Entry: https://nvd.nist.gov/vuln/detail/CVE-2026-71219 — Official NVD record containing the full CVSS vector and vulnerable-component description.
  2. CWE-770 Reference: https://cwe.mitre.org/data/definitions/770.html — Common Weakness Enumeration entry for "Allocation of Resources Without Limits or Throttling," the underlying weakness class.
  3. GFS2 Manual Pages (fsck.gfs2): https://man7.org/linux/man-pages/man8/fsck.gfs2.8.html — Vendor documentation for the affected CLI tool.
  4. gfs2-utils Project Sources (metawalk.c discussion): https://git.kernel.org/pub/scm/linux/kernel/git/gfs2/gfs2-utils.git — The upstream source repository where the vulnerable code resides and where future patches will land.
  5. CISA Known Exploited Vulnerabilities Catalog: https://www.cisa.gov/known-exploited-vulnerabilities-catalog — Confirmed as of this report that CVE-2026-71219 is NOT listed in CISA KEV, indicating no known exploitation in the wild.

Threat Actor Activity: No known threat-actor campaigns have been associated with CVE-2026-71219 at the time of writing. There is no evidence of exploit code availability in public repositories (Metasploit, Exploit-DB, GitHub) nor any detection of in-the-wild usage. The primary risk remains that of an opportunistic attacker providing a crafted malicious image to an unsuspecting administrator or forensic analyst.


Report end. Queries and rules are intended as templates — adapt file paths, log source names, and thresholds to match your organization’s logging stack and monitoring scope.

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