CVE-2022-35987 | `CHECK` fail in `DenseBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Published: 2022-09-16 Last update: 2026-06-17 Assigner: [email protected] Source: [email protected]

Conclusion & alert: CVE-2022-35987 is rated Low Risk (34.2/100): CVSS Medium severity, with low exploitation likelihood (EPSS 0.38%). Mandatory action: Monitor for updates and reassess as exploit intelligence or EPSS changes.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Exploit prediction scoring system (EPSS) score for CVE-2022-35987

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-06-15 0.13% 0.38% +0.25%
2 2025-09-18 0.18% 0.13% -0.05%
3 2025-03-30 0.18%

Full EPSS history (8 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2022-35987

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
5.9 3.1 MEDIUM
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:H)
Even with access, the exploit needs extra luck, timing, or a fussy environment to actually work.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
2.2 3.6 [email protected]
7.5 3.1 HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
3.9 3.6 [email protected]

Weakness enumeration for CVE-2022-35987

GitHub Security Advisory for CVE-2022-35987

GHSA-w62h-8xjm-fv49 · Severity: medium · Ecosystem: pip — TensorFlow vulnerable to `CHECK` fail in `DenseBincount`

OS Trackers for CVE-2022-35987

vendor priority summary link
debian unimportant CVE-2022-35987 unimportant priority: Debian including 1 source packages (tensorflow), 2 status rows across 2 suites (forky, sid): resolved 2. https://security-tracker.debian.org/tracker/CVE-2022-35987

Affected software / configurations for CVE-2022-35987

Vendor Product Version Raw CPE
google tensorflow < 2.7.2 cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow >= 2.8.0, < 2.8.1 cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow >= 2.9.0, < 2.9.1 cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*
google tensorflow 2.10 cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*

References for CVE-2022-35987

cvelogic Threat Intelligence