CVE-2021-41195: Crash in `tf.math.segment_*` operations
Noroxi assessment
Priority: Monitor (action score 22/100)
- The sources we track (CISA KEV, Exploit-DB, Metasploit, Nuclei, GitHub) show no public exploit code or exploitation in the wild.
- Probability of exploitation in the next 30 days: 0.21% (FIRST EPSS).
- Someone with local access to the system can trigger it. A low-privileged account is enough. No user action is required. No special conditions are required; it is repeatable.
- Fixed version: tensorflow (PyPI) 2.5.2, 2.6.1, 2.4.4; tensorflow-cpu (PyPI) 2.5.2, 2.6.1, 2.4.4; tensorflow-gpu (PyPI) 2.5.2, 2.6.1, 2.4.4.
Low priority for now. Upgrade to tensorflow (PyPI) 2.5.2, 2.6.1, 2.4.4; tensorflow-cpu (PyPI) 2.5.2, 2.6.1, 2.4.4; tensorflow-gpu (PyPI) 2.5.2, 2.6.1, 2.4.4 or later.
Generated automatically from the record's data: CVSS (NVD and CNA), CISA KEV and SSVC, FIRST EPSS, exploit sources, fixed versions. How we calculate it
Primary sources: NVD · CVE.org · FIRST EPSS
TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
- Published
- Nov 5, 2021
- Updated
- Jun 17, 2026
- EPSS
- 0.2% · 11th percentile
- CWE
- CWE-190
Report tools
Action score
22
Low priority for now.
- CVSS
- 22 / 40 · 5.5 / 10
- CISA KEV
- 0 / 30 · Not listed
- EPSS
- 0 / 30 · 0.2%
CNA vs NVD score
- NVD
- 5.5
- CNA · GitHub_M
- 5.5
- agree
The score given by the assigning authority versus NVD’s independent score. A gap means the severity is contested.
Get told when this record changes
- Not in KEV: no record of exploitation in the wild
- No public exploit code on record
- A fix has been released
If any of these changes, we'll tell you in the daily email digest.
Is your version affected? Check itNoroxi analysis
What does it mean in your environment?
The assessment above is generated automatically from the record's data; it doesn't know your environment. Our team verifies on your systems whether this vulnerability is actually exploitable and which mitigation is enough.
We use this product, ask for helpAffected systems
Is your version affected?
Pick the product and type the version you run. It's compared with this record's version ranges in your browser; the version isn't sent anywhere.
| Vendor | Product | CPE |
|---|---|---|
| tensorflow | cpe:2.3:a:google:tensorflow |
Versions reported by the vendor
Affected version ranges reported by the assigning authority (GitHub_M). Independent of NVD's CPE analysis and usually ahead of it.
tensorflow tensorflow
- >= 2.6.0, < 2.6.1, >= 2.5.0, < 2.5.2, < 2.4.4affected
Affected versions
NVD version ranges (for catalog products). Add the product to your stack with a version and matching uses these.
- google tensorflowbefore 2.4.4
- google tensorflow2.5.0 and later · before 2.5.2
- google tensorflow2.6.0 and later · before 2.6.1
Package-level exposure
OSV and GitHub Advisory data: ecosystem, package and range. SBOM matching uses this table.
| Ecosystem | Package | Affected range | Fix |
|---|---|---|---|
| PyPI | tensorflow | from 2.5.0 · before 2.5.2 | 2.5.2 |
| PyPI | tensorflow | from 2.6.0 · before 2.6.1 | 2.6.1 |
| PyPI | tensorflow | before 2.4.4 | 2.4.4 |
| PyPI | tensorflow-cpu | from 2.5.0 · before 2.5.2 | 2.5.2 |
| PyPI | tensorflow-cpu | from 2.6.0 · before 2.6.1 | 2.6.1 |
| PyPI | tensorflow-cpu | before 2.4.4 | 2.4.4 |
| PyPI | tensorflow-gpu | from 2.5.0 · before 2.5.2 | 2.5.2 |
| PyPI | tensorflow-gpu | from 2.6.0 · before 2.6.1 | 2.6.1 |
| PyPI | tensorflow-gpu | before 2.4.4 | 2.4.4 |
Same product
google: all recordsOther highest-scoring records for the same primary product.
- CVE-2023-25668TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation39Monitor
- CVE-2023-25664TensorFlow vulnerable to Heap Buffer Overflow in AvgPoolGrad39Monitor
- CVE-2022-41900FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow39Monitor
Published before and after this one in the same product
- ← EarlierCVE-2021-37692Aug 12, 2021 · Segfault on strings tensors with mistmatched dimensions in TensorFlow22Monitor
- ← EarlierCVE-2021-37690Aug 12, 2021 · Use after free and segfault in shape inference functions in TensorFlow26Monitor
- Later →CVE-2021-41196Nov 5, 2021 · Crash in `max_pool3d` when size argument is 0 or negative22Monitor
Remediation
Which version to upgrade to
Fix versions compiled from the vendor, package registries and Microsoft. Verify the vendor's note before upgrading.
| Product / package | Fixed version | Source |
|---|---|---|
| PyPI:tensorflow | 2.4.4 | Package registry (OSV) |
| PyPI:tensorflow | 2.5.2 | Package registry (OSV) |
| PyPI:tensorflow | 2.6.1 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.4.4 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.5.2 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.6.1 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.4.4 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.5.2 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.6.1 | Package registry (OSV) |
Exploit status
No known public exploit
No public exploit has been observed yet. That doesn't mean you're safe, only that the bar is a little higher.
Research context
For pentesters and researchers: attack profile, score disagreement, timeline, patch commits, credits, variant and chain candidates, bug bounty scope. All derived from existing data; no exploit code.
Timeline
From publication to today: proof of concept, Metasploit module, CISA KEV and fix record. Dates are as reported by the sources.
No dated events beyond publication.
Patch and commit links
Commit, PR and diff links among the references. A starting point for patch-diffing and variant hunting; fixes, not exploits.
Not on record for this CVE: EPSS history · researcher credit · variant or chain candidate · public bounty program.
Technical details
Attack conditions
- Someone with local access to the system can trigger it.
- A low-privileged account is enough.
- No user action is required.
- No special conditions are required; it is repeatable.
If successful
- Confidentiality
- none
- Integrity
- none
- Availability
- high · the service can be disrupted
- Attack vector
- Local
- Attack complexity
- Low
- Privileges required
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality impact
- None
- Integrity impact
- None
- Availability impact
- High
Weakness class (CWE)
CWE-190 · Integer Overflow or WraparoundCVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
nvd-primary
Attack context
MITRE CAPEC attack patterns and ATT&CK techniques for this weakness class (CWE). A starting point for detection rules and threat hunting.
Attack patterns (CAPEC)
ATT&CK techniques
—
Change log (1)
- Fix✗ → ✓
For records you follow, these changes also arrive as notifications. →
References
Show all references (2 more)Show less
Vendor advisories and official records. Exploit/PoC links are deliberately left out.