FKIE_CVE-2024-39502
Vulnerability from fkie_nvd - Published: 2024-07-12 13:15 - Updated: 2026-10-15 01:18
Severity
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
7.8 (High) - CVSS:3.1/
Summary
In the Linux kernel, the following vulnerability has been resolved:
ionic: fix use after netif_napi_del()
When queues are started, netif_napi_add() and napi_enable() are called.
If there are 4 queues and only 3 queues are used for the current
configuration, only 3 queues' napi should be registered and enabled.
The ionic_qcq_enable() checks whether the .poll pointer is not NULL for
enabling only the using queue' napi. Unused queues' napi will not be
registered by netif_napi_add(), so the .poll pointer indicates NULL.
But it couldn't distinguish whether the napi was unregistered or not
because netif_napi_del() doesn't reset the .poll pointer to NULL.
So, ionic_qcq_enable() calls napi_enable() for the queue, which was
unregistered by netif_napi_del().
Reproducer:
ethtool -L <interface name> rx 1 tx 1 combined 0
ethtool -L <interface name> rx 0 tx 0 combined 1
ethtool -L <interface name> rx 0 tx 0 combined 4
Splat looks like:
kernel BUG at net/core/dev.c:6666!
Oops: invalid opcode: 0000 [#1] PREEMPT SMP NOPTI
CPU: 3 PID: 1057 Comm: kworker/3:3 Not tainted 6.10.0-rc2+ #16
Workqueue: events ionic_lif_deferred_work [ionic]
RIP: 0010:napi_enable+0x3b/0x40
Code: 48 89 c2 48 83 e2 f6 80 b9 61 09 00 00 00 74 0d 48 83 bf 60 01 00 00 00 74 03 80 ce 01 f0 4f
RSP: 0018:ffffb6ed83227d48 EFLAGS: 00010246
RAX: 0000000000000000 RBX: ffff97560cda0828 RCX: 0000000000000029
RDX: 0000000000000001 RSI: 0000000000000000 RDI: ffff97560cda0a28
RBP: ffffb6ed83227d50 R08: 0000000000000400 R09: 0000000000000001
R10: 0000000000000001 R11: 0000000000000001 R12: 0000000000000000
R13: ffff97560ce3c1a0 R14: 0000000000000000 R15: ffff975613ba0a20
FS: 0000000000000000(0000) GS:ffff975d5f780000(0000) knlGS:0000000000000000
CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033
CR2: 00007f8f734ee200 CR3: 0000000103e50000 CR4: 00000000007506f0
PKRU: 55555554
Call Trace:
<TASK>
? die+0x33/0x90
? do_trap+0xd9/0x100
? napi_enable+0x3b/0x40
? do_error_trap+0x83/0xb0
? napi_enable+0x3b/0x40
? napi_enable+0x3b/0x40
? exc_invalid_op+0x4e/0x70
? napi_enable+0x3b/0x40
? asm_exc_invalid_op+0x16/0x20
? napi_enable+0x3b/0x40
ionic_qcq_enable+0xb7/0x180 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]
ionic_start_queues+0xc4/0x290 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]
ionic_link_status_check+0x11c/0x170 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]
ionic_lif_deferred_work+0x129/0x280 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]
process_one_work+0x145/0x360
worker_thread+0x2bb/0x3d0
? __pfx_worker_thread+0x10/0x10
kthread+0xcc/0x100
? __pfx_kthread+0x10/0x10
ret_from_fork+0x2d/0x50
? __pfx_kthread+0x10/0x10
ret_from_fork_asm+0x1a/0x30
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | * | |
| linux | linux_kernel | 6.10 | |
| linux | linux_kernel | 6.10 | |
| linux | linux_kernel | 6.10 |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "Linux",
"programFiles": [
"drivers/net/ethernet/pensando/ionic/ionic_lif.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"lessThan": "0d19267cb150e8f76ade210e16ee820a77f684e7",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
},
{
"lessThan": "ff9c2a9426ecf5b9631e9fd74993b357262387d6",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
},
{
"lessThan": "8edd18dab443863e9e48f084e7f123fca3065e4e",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
},
{
"lessThan": "60cd714871cd5a683353a355cbb17a685245cf84",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
},
{
"lessThan": "183ebc167a8a19e916b885d4bb61a3491991bfa5",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
},
{
"lessThan": "a87d72b37b9ec2c1e18fe36b09241d8b30334a2e",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
},
{
"lessThan": "79f18a41dd056115d685f3b0a419c7cd40055e13",
"status": "affected",
"version": "0f3154e6bcb354968cc04f7cd86ce466f7b9a814",
"versionType": "git"
}
]
},
{
"defaultStatus": "affected",
"product": "Linux",
"programFiles": [
"drivers/net/ethernet/pensando/ionic/ionic_lif.c"
],
"repo": "https://git.kernel.org/pub/scm/linux/kernel/git/stable/linux.git",
"vendor": "Linux",
"versions": [
{
"status": "affected",
"version": "5.4"
},
{
"lessThan": "5.4",
"status": "unaffected",
"version": "0",
"versionType": "semver"
},
{
"lessThanOrEqual": "5.4.*",
"status": "unaffected",
"version": "5.4.279",
"versionType": "semver"
},
{
"lessThanOrEqual": "5.10.*",
"status": "unaffected",
"version": "5.10.221",
"versionType": "semver"
},
{
"lessThanOrEqual": "5.15.*",
"status": "unaffected",
"version": "5.15.162",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.1.*",
"status": "unaffected",
"version": "6.1.95",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.6.*",
"status": "unaffected",
"version": "6.6.35",
"versionType": "semver"
},
{
"lessThanOrEqual": "6.9.*",
"status": "unaffected",
"version": "6.9.6",
"versionType": "semver"
},
{
"lessThanOrEqual": "*",
"status": "unaffected",
"version": "6.10",
"versionType": "original_commit_for_fix"
}
]
}
],
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67"
},
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "RUGGEDCOM RST2428P",
"vendor": "Siemens",
"versions": [
{
"lessThan": "V3.1",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
},
{
"defaultStatus": "unknown",
"product": "SCALANCE XC-300/XR-300/XC-400/XR-500WG/XR-500 family",
"vendor": "Siemens",
"versions": [
{
"lessThan": "*",
"status": "unaffected",
"version": "0",
"versionType": "custom"
}
]
},
{
"defaultStatus": "unknown",
"product": "SCALANCE XCM-/XRM-/XCH-/XRH-300 family",
"vendor": "Siemens",
"versions": [
{
"lessThan": "V3.1",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
},
{
"defaultStatus": "unknown",
"product": "SIMATIC S7-1500 TM MFP - GNU/Linux subsystem",
"vendor": "Siemens",
"versions": [
{
"lessThan": "V1.1.1",
"status": "affected",
"version": "0",
"versionType": "custom"
}
]
}
],
"source": "0b142b55-0307-4c5a-b3c9-f314f3fb7c5e"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"matchCriteriaId": "1A920648-B954-4FF9-B516-2BAFC2674086",
"versionEndExcluding": "5.4.279",
"versionStartIncluding": "5.4",
"vulnerable": true
},
{
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"matchCriteriaId": "659E1520-6345-41AF-B893-A7C0647585A0",
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},
{
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},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
"matchCriteriaId": "D435765D-2766-44F5-B319-F713A13E35CE",
"versionEndExcluding": "6.1.95",
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},
{
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{
"criteria": "cpe:2.3:o:linux:linux_kernel:*:*:*:*:*:*:*:*",
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"versionEndExcluding": "6.9.6",
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},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:6.10:rc1:*:*:*:*:*:*",
"matchCriteriaId": "2EBB4392-5FA6-4DA9-9772-8F9C750109FA",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:6.10:rc2:*:*:*:*:*:*",
"matchCriteriaId": "331C2F14-12C7-45D5-893D-8C52EE38EA10",
"vulnerable": true
},
{
"criteria": "cpe:2.3:o:linux:linux_kernel:6.10:rc3:*:*:*:*:*:*",
"matchCriteriaId": "3173713D-909A-4DD3-9DD4-1E171EB057EE",
"vulnerable": true
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],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In the Linux kernel, the following vulnerability has been resolved:\n\nionic: fix use after netif_napi_del()\n\nWhen queues are started, netif_napi_add() and napi_enable() are called.\nIf there are 4 queues and only 3 queues are used for the current\nconfiguration, only 3 queues\u0027 napi should be registered and enabled.\nThe ionic_qcq_enable() checks whether the .poll pointer is not NULL for\nenabling only the using queue\u0027 napi. Unused queues\u0027 napi will not be\nregistered by netif_napi_add(), so the .poll pointer indicates NULL.\nBut it couldn\u0027t distinguish whether the napi was unregistered or not\nbecause netif_napi_del() doesn\u0027t reset the .poll pointer to NULL.\nSo, ionic_qcq_enable() calls napi_enable() for the queue, which was\nunregistered by netif_napi_del().\n\nReproducer:\n ethtool -L \u003cinterface name\u003e rx 1 tx 1 combined 0\n ethtool -L \u003cinterface name\u003e rx 0 tx 0 combined 1\n ethtool -L \u003cinterface name\u003e rx 0 tx 0 combined 4\n\nSplat looks like:\nkernel BUG at net/core/dev.c:6666!\nOops: invalid opcode: 0000 [#1] PREEMPT SMP NOPTI\nCPU: 3 PID: 1057 Comm: kworker/3:3 Not tainted 6.10.0-rc2+ #16\nWorkqueue: events ionic_lif_deferred_work [ionic]\nRIP: 0010:napi_enable+0x3b/0x40\nCode: 48 89 c2 48 83 e2 f6 80 b9 61 09 00 00 00 74 0d 48 83 bf 60 01 00 00 00 74 03 80 ce 01 f0 4f\nRSP: 0018:ffffb6ed83227d48 EFLAGS: 00010246\nRAX: 0000000000000000 RBX: ffff97560cda0828 RCX: 0000000000000029\nRDX: 0000000000000001 RSI: 0000000000000000 RDI: ffff97560cda0a28\nRBP: ffffb6ed83227d50 R08: 0000000000000400 R09: 0000000000000001\nR10: 0000000000000001 R11: 0000000000000001 R12: 0000000000000000\nR13: ffff97560ce3c1a0 R14: 0000000000000000 R15: ffff975613ba0a20\nFS: 0000000000000000(0000) GS:ffff975d5f780000(0000) knlGS:0000000000000000\nCS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033\nCR2: 00007f8f734ee200 CR3: 0000000103e50000 CR4: 00000000007506f0\nPKRU: 55555554\nCall Trace:\n \u003cTASK\u003e\n ? die+0x33/0x90\n ? do_trap+0xd9/0x100\n ? napi_enable+0x3b/0x40\n ? do_error_trap+0x83/0xb0\n ? napi_enable+0x3b/0x40\n ? napi_enable+0x3b/0x40\n ? exc_invalid_op+0x4e/0x70\n ? napi_enable+0x3b/0x40\n ? asm_exc_invalid_op+0x16/0x20\n ? napi_enable+0x3b/0x40\n ionic_qcq_enable+0xb7/0x180 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]\n ionic_start_queues+0xc4/0x290 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]\n ionic_link_status_check+0x11c/0x170 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]\n ionic_lif_deferred_work+0x129/0x280 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8]\n process_one_work+0x145/0x360\n worker_thread+0x2bb/0x3d0\n ? __pfx_worker_thread+0x10/0x10\n kthread+0xcc/0x100\n ? __pfx_kthread+0x10/0x10\n ret_from_fork+0x2d/0x50\n ? __pfx_kthread+0x10/0x10\n ret_from_fork_asm+0x1a/0x30"
},
{
"lang": "es",
"value": "En el kernel de Linux, se ha resuelto la siguiente vulnerabilidad: ionic: corrige el use after de netif_napi_del() Cuando se inician las colas, se llama a netif_napi_add() y napi_enable(). Si hay 4 colas y solo se utilizan 3 colas para la configuraci\u00f3n actual, solo se deben registrar y habilitar napi de 3 colas. ionic_qcq_enable() comprueba si el puntero .poll no es NULL para habilitar solo el napi de la cola de uso. netif_napi_add() no registrar\u00e1 el napi de las colas no utilizadas, por lo que el puntero .poll indica NULL. Pero no pudo distinguir si el napi no estaba registrado o no porque netif_napi_del() no restablece el puntero .poll a NULL. Entonces, ionic_qcq_enable() llama a napi_enable() para la cola, que netif_napi_del() cancel\u00f3 el registro. Reproductor: ethtool -L rx 1 tx 1 combinado 0 ethtool -L rx 0 tx 0 combinado 1 ethtool -L rx 0 tx 0 combinado 4 Splat se parece a: kernel ERROR en net/ n\u00facleo/dev.c:6666! Vaya: c\u00f3digo de operaci\u00f3n no v\u00e1lido: 0000 [#1] PREEMPT SMP NOPTI CPU: 3 PID: 1057 Comm: kworker/3:3 No contaminado 6.10.0-rc2+ #16 Cola de trabajo: eventos ionic_lif_deferred_work [ionic] RIP: 0010:napi_enable+0x3b/ 0x40 C\u00f3digo: 48 89 c2 48 83 e2 f6 80 b9 61 09 00 00 00 74 0d 48 83 bf 60 01 00 00 00 74 03 80 ce 01 f0 4f RSP: 0018:ffffb6ed83227d48 EFLAGS: 10246 RAX: 0000000000000000 RBX: ffff97560cda0828 RCX: 0000000000000029 RDX: 0000000000000001 RSI: 0000000000000000 RDI: ffff97560cda0a28 RBP: ffffb6ed83227d50 R08: 0000000000000400 R09: 00000000001 R10: 0000000000000001 R11: 0000000000000001 R12: 0000000000000000 R13: ffff97560ce3c1a0 R14: 0000000000000000 R15: 13ba0a20 FS: 0000000000000000(0000) GS:ffff975d5f780000(0000) knlGS :0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007f8f734ee200 CR3: 0000000103e50000 CR4: 00000000007506f0 PKRU: 5555554 Seguimiento de llamadas: ? morir+0x33/0x90? do_trap+0xd9/0x100? napi_enable+0x3b/0x40? do_error_trap+0x83/0xb0? napi_enable+0x3b/0x40? napi_enable+0x3b/0x40? exc_invalid_op+0x4e/0x70? napi_enable+0x3b/0x40? asm_exc_invalid_op+0x16/0x20? napi_enable+0x3b/0x40 ionic_qcq_enable+0xb7/0x180 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8] ionic_start_queues+0xc4/0x290 [ionic 59bdfc8a035436e1c4224 ff7d10789e3f14643f8] ionic_link_status_check+0x11c/0x170 [ionic 59bdfc8a035436e1c4224ff7d10789e3f14643f8] ionic_lif_deferred_work+0x129/0x280 [ionic 59bdfc8a03543 6e1c4224ff7d10789e3f14643f8] proceso_one_work+0x145/0x360 trabajador_thread+0x2bb/ 0x3d0? __pfx_worker_thread+0x10/0x10 kthread+0xcc/0x100 ? __pfx_kthread+0x10/0x10 ret_from_fork+0x2d/0x50 ? __pfx_kthread+0x10/0x10 ret_from_fork_asm+0x1a/0x30"
}
],
"id": "CVE-2024-39502",
"lastModified": "2026-10-15T01:18:34.700",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "HIGH",
"baseScore": 7.8,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 5.9,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2024-39502",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2024-09-10T17:07:07.252622Z",
"version": "2.0.3"
}
}
]
},
"published": "2024-07-12T13:15:12.680",
"references": [
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},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/79f18a41dd056115d685f3b0a419c7cd40055e13"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/8edd18dab443863e9e48f084e7f123fca3065e4e"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/a87d72b37b9ec2c1e18fe36b09241d8b30334a2e"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch"
],
"url": "https://git.kernel.org/stable/c/ff9c2a9426ecf5b9631e9fd74993b357262387d6"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://lists.debian.org/debian-lts-announce/2025/01/msg00001.html"
},
{
"source": "0b142b55-0307-4c5a-b3c9-f314f3fb7c5e",
"url": "https://cert-portal.siemens.com/productcert/html/ssa-265688.html"
},
{
"source": "0b142b55-0307-4c5a-b3c9-f314f3fb7c5e",
"url": "https://cert-portal.siemens.com/productcert/html/ssa-355557.html"
},
{
"source": "0b142b55-0307-4c5a-b3c9-f314f3fb7c5e",
"url": "https://cert-portal.siemens.com/productcert/html/ssa-613116.html"
}
],
"sourceIdentifier": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-416"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| Author | Source | Type | Date | Other |
|---|
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.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
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.