CVE-2020-26267: Lack of validation in data format attributes in TensorFlow
Noroxi assessment
Priority: Monitor (action score 31/100)
- 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: 0.24% (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: bazel-skylib1.0.3 (openSUSE:Leap 15.3) 1.0.3-bp153.2.1; bazel3.7 (openSUSE:Leap 15.3) 3.7.2-bp153.4.1; tensorflow2 (openSUSE:Leap 15.3) 2.6.0-bp153.2.3.1.
- Severity is disputed: the assigning authority (CNA) scores it 4.4, NVD 7.8.
Low priority for now. Upgrade to bazel-skylib1.0.3 (openSUSE:Leap 15.3) 1.0.3-bp153.2.1; bazel3.7 (openSUSE:Leap 15.3) 3.7.2-bp153.4.1; tensorflow2 (openSUSE:Leap 15.3) 2.6.0-bp153.2.3.1 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
In affected versions of TensorFlow the tf.raw_ops.DataFormatVecPermute API does not validate the src_format and dst_format attributes. The code assumes that these two arguments define a permutation of NHWC. This can result in uninitialized memory accesses, read outside of bounds and even crashes. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
- Published
- Dec 10, 2020
- Updated
- Jun 16, 2026
- EPSS
- 0.2% · 15th percentile
- CWE
- CWE-125
Report tools
Action score
31
Low priority for now.
- CVSS
- 31 / 40 · 7.8 / 10
- CISA KEV
- 0 / 30 · Not listed
- EPSS
- 0 / 30 · 0.2%
CNA vs NVD score
- NVD
- 7.8
- CNA · GitHub_M
- 4.4
- 3.4 point gap
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
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
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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
- < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3, >= 2.2.0, < 2.2.2, >= 2.3.0, < 2.3.2affected
Affected versions · NVD (5)
NVD version ranges (for catalog products). Add the product to your stack with a version and matching uses these.
- google tensorflowbefore 1.15.5
- google tensorflow2.0.0 and later · before 2.0.4
- google tensorflow2.1.0 and later · before 2.1.3
- google tensorflow2.2.0 and later · before 2.2.2
- google tensorflow2.3.0 and later · before 2.3.2
Package-level exposure
OSV and GitHub Advisory data: ecosystem, package and range. SBOM matching uses this table.
| Ecosystem | Package | Affected range | Fix |
|---|---|---|---|
| openSUSE:Leap 15.3 | bazel-skylib1.0.3 | before 1.0.3-bp153.2.1 | 1.0.3-bp153.2.1 |
| openSUSE:Leap 15.3 | bazel3.7 | before 3.7.2-bp153.4.1 | 3.7.2-bp153.4.1 |
| openSUSE:Leap 15.3 | tensorflow2 | before 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 |
| openSUSE:Leap 15.3 | tensorflow2_2_6_0-gnu-hpc | before 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 |
| openSUSE:Leap 15.3 | tensorflow2_2_6_0-gnu-openmpi2-hpc | before 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 |
| openSUSE:Leap 15.3 | tensorflow2-lite | before 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 |
| PyPI | tensorflow | from 2.0.0 · before 2.0.4 | 2.0.4 |
| PyPI | tensorflow | from 2.1.0 · before 2.1.3 | 2.1.3 |
| PyPI | tensorflow | from 2.2.0 · before 2.2.2 | 2.2.2 |
| PyPI | tensorflow | from 2.3.0 · before 2.3.2 | 2.3.2 |
| PyPI | tensorflow | before 1.15.5 | 1.15.5 |
| PyPI | tensorflow-cpu | from 2.0.0 · before 2.0.4 | 2.0.4 |
| PyPI | tensorflow-cpu | from 2.1.0 · before 2.1.3 | 2.1.3 |
| PyPI | tensorflow-cpu | from 2.2.0 · before 2.2.2 | 2.2.2 |
| PyPI | tensorflow-cpu | from 2.3.0 · before 2.3.2 | 2.3.2 |
| PyPI | tensorflow-cpu | before 1.15.5 | 1.15.5 |
| PyPI | tensorflow-gpu | from 2.0.0 · before 2.0.4 | 2.0.4 |
| PyPI | tensorflow-gpu | from 2.1.0 · before 2.1.3 | 2.1.3 |
| PyPI | tensorflow-gpu | from 2.2.0 · before 2.2.2 | 2.2.2 |
| PyPI | tensorflow-gpu | from 2.3.0 · before 2.3.2 | 2.3.2 |
| PyPI | tensorflow-gpu | before 1.15.5 | 1.15.5 |
| SUSE:Package Hub 15 SP3 | bazel-skylib1.0.3 | before 1.0.3-bp153.2.1 | 1.0.3-bp153.2.1 |
| SUSE:Package Hub 15 SP3 | bazel3.7 | before 3.7.2-bp153.4.1 | 3.7.2-bp153.4.1 |
| SUSE:Package Hub 15 SP3 | tensorflow2 | before 2.6.0-bp153.2.3.1 | 2.6.0-bp153.2.3.1 |
+3
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-2020-26271Dec 10, 2020 · Heap out of bounds access in MakeEdge in TensorFlow13Monitor
- ← EarlierCVE-2020-26266Dec 10, 2020 · Uninitialized memory access in Eigen types in TensorFlow21Monitor
- Later →CVE-2020-26268Dec 10, 2020 · Write to immutable memory region in TensorFlow17Monitor
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 |
|---|---|---|
| opensuse:bazel-skylib1.0.3 | 1.0.3-bp153.2.1 · openSUSE:Leap 15.3 | Package registry (OSV) |
| opensuse:bazel3.7 | 3.7.2-bp153.4.1 · openSUSE:Leap 15.3 | Package registry (OSV) |
| opensuse:tensorflow2 | 2.6.0-bp153.2.3.1 · openSUSE:Leap 15.3 | Package registry (OSV) |
| opensuse:tensorflow2_2_6_0-gnu-hpc | 2.6.0-bp153.2.3.1 · openSUSE:Leap 15.3 | Package registry (OSV) |
| opensuse:tensorflow2_2_6_0-gnu-openmpi2-hpc | 2.6.0-bp153.2.3.1 · openSUSE:Leap 15.3 | Package registry (OSV) |
| opensuse:tensorflow2-lite | 2.6.0-bp153.2.3.1 · openSUSE:Leap 15.3 | Package registry (OSV) |
| PyPI:tensorflow | 1.15.5 | Package registry (OSV) |
| PyPI:tensorflow | 2.0.4 | Package registry (OSV) |
| PyPI:tensorflow | 2.1.3 | Package registry (OSV) |
| PyPI:tensorflow | 2.2.2 | Package registry (OSV) |
| PyPI:tensorflow | 2.3.2 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 1.15.5 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.0.4 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.1.3 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.2.2 | Package registry (OSV) |
| PyPI:tensorflow-cpu | 2.3.2 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 1.15.5 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.0.4 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.1.3 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.2.2 | Package registry (OSV) |
| PyPI:tensorflow-gpu | 2.3.2 | Package registry (OSV) |
| suse:bazel-skylib1.0.3 | 1.0.3-bp153.2.1 · SUSE:Package Hub 15 SP3 | Package registry (OSV) |
| suse:bazel3.7 | 3.7.2-bp153.4.1 · SUSE:Package Hub 15 SP3 | Package registry (OSV) |
| suse:tensorflow2 | 2.6.0-bp153.2.3.1 · SUSE:Package Hub 15 SP3 | Package registry (OSV) |
| suse:tensorflow2_2_6_0-gnu-hpc | 2.6.0-bp153.2.3.1 · SUSE:Package Hub 15 SP3 | Package registry (OSV) |
| suse:tensorflow2_2_6_0-gnu-openmpi2-hpc | 2.6.0-bp153.2.3.1 · SUSE:Package Hub 15 SP3 | Package registry (OSV) |
| suse:tensorflow2-lite | 2.6.0-bp153.2.3.1 · SUSE:Package Hub 15 SP3 | 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
- high · data can be read
- Integrity
- high · data or configuration can be modified
- Availability
- high · the service can be disrupted
- Attack vector
- Local
- Attack complexity
- Low
- Privileges required
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality impact
- High
- Integrity impact
- High
- Availability impact
- High
Weakness class (CWE)
CWE-125 · Out-of-bounds ReadCVSS vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/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✗ → ✓
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References
Vendor advisories and official records. Exploit/PoC links are deliberately left out.