CVE-2020-36776 (GCVE-0-2020-36776)

Vulnerability from cvelistv5 – Published: 2024-02-27 18:40 – Updated: 2026-05-23 15:18
VLAI
Title
thermal/drivers/cpufreq_cooling: Fix slab OOB issue
Summary
In the Linux kernel, the following vulnerability has been resolved: thermal/drivers/cpufreq_cooling: Fix slab OOB issue Slab OOB issue is scanned by KASAN in cpu_power_to_freq(). If power is limited below the power of OPP0 in EM table, it will cause slab out-of-bound issue with negative array index. Return the lowest frequency if limited power cannot found a suitable OPP in EM table to fix this issue. Backtrace: [<ffffffd02d2a37f0>] die+0x104/0x5ac [<ffffffd02d2a5630>] bug_handler+0x64/0xd0 [<ffffffd02d288ce4>] brk_handler+0x160/0x258 [<ffffffd02d281e5c>] do_debug_exception+0x248/0x3f0 [<ffffffd02d284488>] el1_dbg+0x14/0xbc [<ffffffd02d75d1d4>] __kasan_report+0x1dc/0x1e0 [<ffffffd02d75c2e0>] kasan_report+0x10/0x20 [<ffffffd02d75def8>] __asan_report_load8_noabort+0x18/0x28 [<ffffffd02e6fce5c>] cpufreq_power2state+0x180/0x43c [<ffffffd02e6ead80>] power_actor_set_power+0x114/0x1d4 [<ffffffd02e6fac24>] allocate_power+0xaec/0xde0 [<ffffffd02e6f9f80>] power_allocator_throttle+0x3ec/0x5a4 [<ffffffd02e6ea888>] handle_thermal_trip+0x160/0x294 [<ffffffd02e6edd08>] thermal_zone_device_check+0xe4/0x154 [<ffffffd02d351cb4>] process_one_work+0x5e4/0xe28 [<ffffffd02d352f44>] worker_thread+0xa4c/0xfac [<ffffffd02d360124>] kthread+0x33c/0x358 [<ffffffd02d289940>] ret_from_fork+0xc/0x18
Severity
No CVSS data available.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-10 16:01 UTC
Assigner
References
Impacted products
Vendor Product Version
Linux Linux Affected: 371a3bc79c11b707d7a1b7a2c938dc3cc042fffb , < c24a20912eef00587416628149c438e885eb1304 (git)
Affected: 371a3bc79c11b707d7a1b7a2c938dc3cc042fffb , < 876a5f33e5d961d879c5436987c09b3d9ef70379 (git)
Affected: 371a3bc79c11b707d7a1b7a2c938dc3cc042fffb , < 6bf443acf6ca4f666d0e4225614ba9993a3aa1a9 (git)
Affected: 371a3bc79c11b707d7a1b7a2c938dc3cc042fffb , < 34ab17cc6c2c1ac93d7e5d53bb972df9a968f085 (git)
Affected: 39e0651cac9c80865b2838f297f95ffc0f34a1d8 (git)
Affected: febe56f21371ba1e51e8586c3ddf8f54fc62fe61 (git)
Affected: d3b7bacd1115400b94482dfc7efffc175c29b831 (git)
Affected: 9006b543384ab10902819364c1205f11a1458571 (git)
Affected: 4.14.189 , < 4.15 (semver)
Affected: 4.19.134 , < 4.20 (semver)
Affected: 5.4.53 , < 5.5 (semver)
Affected: 5.7.8 , < 5.8 (semver)
Create a notification for this product.
Linux Linux Affected: 5.8
Unaffected: 0 , < 5.8 (semver)
Unaffected: 5.10.36 , ≤ 5.10.* (semver)
Unaffected: 5.11.20 , ≤ 5.11.* (semver)
Unaffected: 5.12.3 , ≤ 5.12.* (semver)
Unaffected: 5.13 , ≤ * (original_commit_for_fix)
Create a notification for this product.
Show details on NVD website
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            "value": "En el kernel de Linux, se resolvi\u00f3 la siguiente vulnerabilidad: Thermal/drivers/cpufreq_cooling: solucionar el problema de Slab OOB El problema de Slab OOB es escaneado por KASAN en cpu_power_to_freq(). Si la potencia se limita por debajo de la potencia de OPP0 en la tabla EM, provocar\u00e1 un problema de losa fuera de los l\u00edmites con un \u00edndice de matriz negativo. Devuelve la frecuencia m\u00e1s baja si la potencia limitada no puede encontrar un OPP adecuado en la tabla EM para solucionar este problema. Seguimiento inverso: [] die+0x104/0x5ac [] bug_handler+0x64/0xd0 [] brk_handler+0x160/0x258 [] do_debug_exception+0x 248/0x3f0 [] el1_dbg+0x14 /0xbc [] __kasan_report+0x1dc/0x1e0 [] kasan_report+0x10/0x20 [] __asan_report_load8_noabort+0x18/0x28 [] cpufreq_power2state+0x180/0x43c [] power_actor_set_power+0x114 /0x1d4 [] allocate_power+0xaec/0xde0 [] power_allocator_throttle+0x3ec/0x5a4 [] handle_thermal_trip+0x160/0x294 [] t\u00e9rmico _zone_device_check+0xe4/0x154 [] proceso_one_work+0x5e4 /0xe28 [] work_thread+0xa4c/0xfac [] kthread+0x33c/0x358 [] ret_from_fork+0xc/0x18"
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        ],
        "id": "CVE-2020-36776",
        "lastModified": "2026-06-17T03:16:12.527",
        "metrics": {
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                "attackVector": "LOCAL",
                "availabilityImpact": "HIGH",
                "baseScore": 5.5,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "NONE",
                "integrityImpact": "NONE",
                "privilegesRequired": "LOW",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
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              "impactScore": 3.6,
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                "value": "CWE-129"
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            "source": "nvd@nist.gov",
            "type": "Primary"
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      "current_release_date": "2025-11-21T14:46:04+00:00",
      "cve": "CVE-2020-36776",
      "id": "CVE-2020-36776",
      "initial_release_date": "2020-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "198",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: thermal/drivers/cpufreq_cooling: Fix slab OOB issue",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-36776.json",
      "version": "3"
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              "versions": [
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                  "version": "5.12.3",
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                  "version": "5.13",
                  "versionType": "original_commit_for_fix"
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        "dateReserved": "2024-02-26T17:07:27.434Z",
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.