CVE-2020-15205 Vulnerability Analysis & Exploit Details

CVE-2020-15205
Vulnerability Scoring

9.8
/10
Critical Risk

As a catastrophic security flaw, CVE-2020-15205 has severe implications, demanding immediate intervention.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or 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-2020-15205 Details

Status: Analyzed

Last updated: 🕔 18 Nov 2021, 17:27 UTC
Originally published on: 🕖 25 Sep 2020, 19:15 UTC

Time between publication and last update: 418 days

CVSS Release: version 3

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

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

CVE-2020-15205 Vulnerability Summary

CVE-2020-15205: In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap overflow errors and even leak contents of memory In the linked code snippet, all the binary strings after `ee ff` are contents from the memory stack. Since these can contain return addresses, this data leak can be used to defeat ASLR. The issue is patched in commit 0462de5b544ed4731aa2fb23946ac22c01856b80, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Assessing the Risk of CVE-2020-15205

Access Complexity Graph

The exploitability of CVE-2020-15205 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-2020-15205

With low attack complexity and no required privileges, CVE-2020-15205 is an easy target for cybercriminals. Organizations should prioritize immediate mitigation measures to prevent unauthorized access and data breaches.

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-2020-15205, 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-2020-15205, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: High
    Exploiting CVE-2020-15205 can result in unauthorized access to sensitive data, severely compromising data privacy.
  • Integrity: High
    CVE-2020-15205 could allow unauthorized modifications to data, potentially affecting system reliability and trust.
  • Availability: High
    CVE-2020-15205 can disrupt system operations, potentially causing complete denial of service (DoS).

Exploit Prediction Scoring System (EPSS)

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

EPSS Score: 0.203% (probability of exploit)

EPSS Percentile: 58.76% (lower percentile = lower relative risk)
This vulnerability is less risky than approximately 41.24% of others.

CVE-2020-15205 References

External References

CWE Common Weakness Enumeration

CWE-122

CAPEC Common Attack Pattern Enumeration and Classification

  • Forced Integer Overflow CAPEC-92 This attack forces an integer variable to go out of range. The integer variable is often used as an offset such as size of memory allocation or similarly. The attacker would typically control the value of such variable and try to get it out of range. For instance the integer in question is incremented past the maximum possible value, it may wrap to become a very small, or negative number, therefore providing a very incorrect value which can lead to unexpected behavior. At worst the attacker can execute arbitrary code.

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:-:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.8.0:-:*:*:lite:*:*:*
  • 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:-:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.9.0:-:*:*:-:*:*:*
  • 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:*:*:-:*:*:*
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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:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.11.0:rc1:*:*:-:*:*:*
  • 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:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.11.0:rc2:*:*:-:*:*:*
  • 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:-:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.12.0:-:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.12.0:*:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.0:-:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:0.12.0:-:*:*:-:*:*:*
  • 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:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:0.12.0:rc1:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:0.12.0:rc1:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.1:*:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:0.12.1:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:0.12.1:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:-:*:*:lite:*:*:*
  • 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:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc0:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:rc1:*:*:-:*:*:*
  • 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:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.0:alpha:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:*:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:-:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:-:*:*:*
  • cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:lite:*:*:*
    cpe:2.3:a:google:tensorflow:1.0.1:*:*:*:lite:*:*:*
  • cpe:2.3:a:google:tensorflow:1.1.0:-:*:*:*:*:*:*
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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:-:*:*:lite:*:*:*
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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:rc0:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.1.0:rc0:*:*:lite:*:*:*
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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:*:*:-:*:*:*
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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:-:*:*:lite:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc0:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.2.0:rc0:*:*:-:*:*:*
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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:*:*:-:*:*:*
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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:1.2.1:*:*:*:lite:*:*:*
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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:*:*:*:*:*:*
    cpe:2.3:a:google:tensorflow:1.3.0:rc1:*:*:*:*:*:*
  • 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:1.14.0: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: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:rc2:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc2:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc3:*:*:*:*:*:*
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  • cpe:2.3:a:google:tensorflow:1.15.0:rc3:*:*:-:*:*:*
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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:*:*:-:*:*:*
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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: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:2.1.0: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:rc2:*:*:*:*:*:*
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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:*:*:-:*:*:*
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  • cpe:2.3:a:google:tensorflow:2.3.0:rc1:*:*:lite:*:*:*
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  • 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-2020-15205: Combat Critical CVE Threats

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