CVE-2020-15211 Vulnerability Analysis & Exploit Details

CVE-2020-15211
Vulnerability Scoring

4.8
/10
Medium Risk

The vulnerability CVE-2020-15211 could compromise system integrity but typically requires user interaction to be exploited.

Attack Complexity Details

  • Attack Complexity: High
    Exploits require significant effort and special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: None
    No privileges are required for exploitation.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2020-15211 Details

Status: Analyzed

Last updated: 🕞 16 Sep 2021, 15:45 UTC
Originally published on: 🕖 25 Sep 2020, 19:15 UTC

Time between publication and last update: 355 days

CVSS Release: version 3

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N

CVE-2020-15211 Vulnerability Summary

CVE-2020-15211: In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices for the tensors, indexing into an array of tensors that is owned by the subgraph. This results in a pattern of double array indexing when trying to get the data of each tensor. However, some operators can have some tensors be optional. To handle this scenario, the flatbuffer model uses a negative `-1` value as index for these tensors. This results in special casing during validation at model loading time. Unfortunately, this means that the `-1` index is a valid tensor index for any operator, including those that don't expect optional inputs and including for output tensors. Thus, this allows writing and reading from outside the bounds of heap allocated arrays, although only at a specific offset from the start of these arrays. This results in both read and write gadgets, albeit very limited in scope. The issue is patched in several commits (46d5b0852, 00302787b7, e11f5558, cd31fd0ce, 1970c21, and fff2c83), and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to the model loading code to ensure that only operators which accept optional inputs use the `-1` special value and only for the tensors that they expect to be optional. Since this allow-list type approach is erro-prone, we advise upgrading to the patched code.

Assessing the Risk of CVE-2020-15211

Access Complexity Graph

The exploitability of CVE-2020-15211 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2020-15211

CVE-2020-15211 presents a challenge to exploit due to its high attack complexity, but the absence of privilege requirements still makes it a viable target for skilled attackers. A thorough security review is advised.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2020-15211, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2020-15211, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: Low
    CVE-2020-15211 could lead to minor leaks of non-critical information without major privacy breaches.
  • Integrity: Low
    Exploiting CVE-2020-15211 may cause minor changes to data without severely impacting its accuracy.
  • Availability: None
    CVE-2020-15211 does not impact system availability.

Exploit Prediction Scoring System (EPSS)

The EPSS score estimates the probability that this vulnerability will be exploited in the near future.

EPSS Score: 0.258% (probability of exploit)

EPSS Percentile: 65.38% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 34.620000000000005% of others.

CVE-2020-15211 References

External References

CWE Common Weakness Enumeration

CWE-787

Vulnerable Configurations

  • cpe:2.3:a:google:tensorflow:-:*:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:-:*:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:-:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:-:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.1.7:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.1.7:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.5.0:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.6.0:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.7.0:*:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.7.0:*:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.7.0:*:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.7.0:*:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.7.0:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.7.0:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.7.1:*:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.7.1:*:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.7.1:*:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.7.1:*:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.7.1:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.7.1:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.8.0:rc0:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.8.0:rc0:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.8.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.8.0:rc0:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.8.0:rc0:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.8.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.9.0:rc0:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.9.0:rc0:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.9.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.9.0:rc0:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.9.0:rc0:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.9.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.10.0:-:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.10.0:-:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.10.0:-:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.10.0:-:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.10.0:-:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.10.0:rc0:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.10.0:rc0:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.10.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.10.0:rc0:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.10.0:rc0:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.10.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.11.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.11.0:-:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.11.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.11.0:rc0:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.11.0:rc1:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.11.0:rc1:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.11.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.11.0:rc1:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.11.0:rc1:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.11.0:rc2:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.11.0:rc2:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.11.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.11.0:rc2:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.11.0:rc2:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:0.12.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.0:*:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.0:-:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.0:rc0:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.12.0:rc0:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.12.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc2:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc1:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc2:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc0:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc1:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc2:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.1:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:-:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:-:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:rc0:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.3.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc1:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.13.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.14.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.14.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc1:*:*:-:*:*:*
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    cpe:2.3:a:google:tensorflow:1.15.0:rc1:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.15.0:rc2:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.15.0:rc2:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.15.0:rc2:*:*:-:*:*:*
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    cpe:2.3:a:google:tensorflow:1.15.0:rc2:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.15.0:rc3:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc3:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.2:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:rc0:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:2.0.0:rc0:*:*:-:*:*:*
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    cpe:2.3:a:google:tensorflow:2.0.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:2.0.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:rc1:*:*:-:*:*:*
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    cpe:2.3:a:google:tensorflow:2.0.0:rc1:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:2.0.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:beta0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:alpha0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.0.0:alpha0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.1.1:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc1:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc3:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc3:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc4:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.2.0:rc4:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.3.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.3.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.3.0:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:2.3.0:rc2:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:2.3.0:rc2:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:2.3.0:rc2:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:2.3.0:rc2:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:2.3.0:rc2:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:2.3.0:rc2:*:*:lite:*:*:*
  • cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*
    cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*

Protect Your Infrastructure against CVE-2020-15211: Combat Critical CVE Threats

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