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cvelistGitHub_MCVELIST:CVE-2022-31146
HistoryJul 20, 2022 - 10:30 p.m.

CVE-2022-31146 Use After Free in Wasmtime

2022-07-2022:30:16
CWE-416
GitHub_M
www.cve.org
3
wasmtime
cranelift
use-after-free
bug
gc
patch
upgrade
mitigation
reference types

CVSS3

6.4

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

LOW

Availability Impact

LOW

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:L

AI Score

8.9

Confidence

High

EPSS

0.002

Percentile

61.5%

Wasmtime is a standalone runtime for WebAssembly. There is a bug in the Wasmtime’s code generator, Cranelift, where functions using reference types may be incorrectly missing metadata required for runtime garbage collection. This means that if a GC happens at runtime then the GC pass will mistakenly think these functions do not have live references to GC’d values, reclaiming them and deallocating them. The function will then subsequently continue to use the values assuming they had not been GC’d, leading later to a use-after-free. This bug was introduced in the migration to the regalloc2 register allocator that occurred in the Wasmtime 0.37.0 release on 2022-05-20. This bug has been patched and users should upgrade to Wasmtime version 0.38.2. Mitigations for this issue can be achieved by disabling the reference types proposal by passing false to wasmtime::Config::wasm_reference_types or downgrading to Wasmtime 0.36.0 or prior.

CNA Affected

[
  {
    "product": "wasmtime",
    "vendor": "bytecodealliance",
    "versions": [
      {
        "status": "affected",
        "version": ">= 0.37.0, < 0.38.2"
      },
      {
        "status": "affected",
        "version": ">= 0.84.0, < 0.85.2"
      }
    ]
  }
]

CVSS3

6.4

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

LOW

Availability Impact

LOW

CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:L

AI Score

8.9

Confidence

High

EPSS

0.002

Percentile

61.5%

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