CVE-2020-36245: GramAddict GramAddict Bot Uses Dependency With Vulnerability

HIGH
Advisory Identifier: GHSA-q5h6-49gg-2wfg
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CVSS 8.8
CWE-94 CWE-306
Published
Advisory Summary

CVE-2020-36245 is a HIGH (CVSS 8.8) gramaddict bot uses dependency with vulnerability (CWE-94: Improper Control of Generation of Code ('Code Injection')) affecting GramAddict libraries in the PyPI ecosystem. The issue involves gramaddict bot uses dependency with reverse tcp backdoor. Remediation is available by upgrading affected packages to version 1.2.5.

CVE-2020-36245 at a Glance

CVE Identifier CVE-2020-36245
GHSA Identifier GHSA-q5h6-49gg-2wfg
Severity HIGH
CVSS v3.1 Base Score 8.8
CWE Classification CWE-94: Improper Control of Generation of Code ('Code Injection')
Affected Product GramAddict
Package Ecosystem PyPI
Published Date
Last Updated

Security Impact

CVSS: 8.8

The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).

Attack Vector Adjacent (AV:A)
Attack Complexity Low (AC:L)
Privileges Required None (PR:N)
User Interaction None (UI:N)
Scope Unchanged (S:U)
Confidentiality High (C:H)
Integrity High (I:H)
Availability High (A:H)

How to Fix CVE-2020-36245

To remediate this vulnerability, upgrade all affected GramAddict dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.

GramAddict fixed: 1.2.5 
pip install GramAddict>=1.2.5
Verify Direct and Transitive Dependencies

Run the following command in your project directory to verify that all resolved dependencies use the patched release: 

pip show GramAddict

How to Check if You Are Affected

To determine whether your Python environment is affected by CVE-2020-36245, inspect your installed packages using pip:

pip show GramAddict

Analyze the terminal output to locate any version of GramAddict in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.2.5), your application is affected.

Note: The pip show GramAddict command checks currently installed packages in your active Python environment.

Technical Details

Vulnerability Mechanism & Technical Analysis

This vulnerability is classified under CWE-94: Improper Control of Generation of Code ('Code Injection'), where the product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. In GramAddict, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.

Source Advisory Statement

GramAddict before 1.2.5 allows remote attackers to execute arbitrary code because of use of UIAutomator2 and ATX-Agent. The attacker must be able to reach TCP port 7912, e.g., by being on the same Wi-Fi network.

CVE-2020-36245 Affected GramAddict Versions

1 component(s)
Fixed Versions:
1.2.5
Product / Package Ecosystem Affected Versions Fixed Version
GramAddict
pypi/GramAddict
PyPI
< 1.2.5
1.2.5

References

NVD — CVE-2020-36245 NVD
https://nvd.nist.gov/vuln/detail/CVE-2020-36245
GramAddict Source Repository REPOSITORY
https://github.com/GramAddict/bot/issues/134
GramAddict Source Repository REPOSITORY
https://github.com/GramAddict/bot/pull/183
Security Fix Commit FIX COMMIT
https://github.com/GramAddict/bot/commit/b9d11691b2fb13749c3cd0f75c70ee31242053ce
GramAddict Source Repository REPOSITORY
https://github.com/GramAddict/bot
GramAddict Source Repository REPOSITORY
https://github.com/pypa/advisory-database/tree/main/vulns/gramaddict/PYSEC-2021-65.yaml

Frequently Asked Questions

What is CVE-2020-36245?
CVE-2020-36245 is a security vulnerability in GramAddict involving GramAddict bot uses dependency with reverse tcp backdoor under CWE-94: Improper Control of Generation of Code ('Code Injection').
Which GramAddict versions are affected?
Affected versions include releases prior to 1.2.5 across affected packages: GramAddict.
What version fixes CVE-2020-36245?
Upgrading to 1.2.5 (or the latest patched release for your respective branch) resolves the vulnerability.
Is GramAddict affected?
Yes, GramAddict is affected in releases prior to 1.2.5. Upgrade your dependency to 1.2.5 or later.
What is the CVSS score of CVE-2020-36245?
CVE-2020-36245 has a CVSS v3.1 base score of 8.8 (HIGH) with vector string CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H.
What CWE is associated with CVE-2020-36245?
CVE-2020-36245 is classified under CWE-94: Improper Control of Generation of Code ('Code Injection') (The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment.).
How can I check PyPI dependencies for CVE-2020-36245?
Run the dependency tree command: 'pip show GramAddict'. This command lists direct and transitive dependencies in your build configuration so you can verify if a vulnerable version is resolved.
Machine-readable OSV JSON OSV v1.5 Schema
Normalized schema output
View Raw JSON 
{
  "schema_version" : "1.4.0",
  "id" : "GHSA-q5h6-49gg-2wfg",
  "modified" : "2024-09-20T21:46:38Z",
  "published" : "2022-05-24T17:42:31Z",
  "aliases" : [ "CVE-2020-36245" ],
  "summary" : "GramAddict bot uses dependency with reverse tcp backdoor",
  "details" : "GramAddict before 1.2.5 allows remote attackers to execute arbitrary code because of use of UIAutomator2 and ATX-Agent. The attacker must be able to reach TCP port 7912, e.g., by being on the same Wi-Fi network.",
  "severity" : [ {
    "type" : "CVSS_V3",
    "score" : "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H"
  }, {
    "type" : "CVSS_V4",
    "score" : "CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N"
  } ],
  "affected" : [ {
    "package" : {
      "ecosystem" : "PyPI",
      "name" : "GramAddict"
    },
    "ranges" : [ {
      "type" : "ECOSYSTEM",
      "events" : [ {
        "introduced" : "0"
      }, {
        "fixed" : "1.2.5"
      } ]
    } ]
  } ],
  "references" : [ {
    "type" : "ADVISORY",
    "url" : "https://nvd.nist.gov/vuln/detail/CVE-2020-36245"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/GramAddict/bot/issues/134"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/GramAddict/bot/pull/183"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/GramAddict/bot/commit/b9d11691b2fb13749c3cd0f75c70ee31242053ce"
  }, {
    "type" : "PACKAGE",
    "url" : "https://github.com/GramAddict/bot"
  }, {
    "type" : "WEB",
    "url" : "https://github.com/pypa/advisory-database/tree/main/vulns/gramaddict/PYSEC-2021-65.yaml"
  } ],
  "database_specific" : {
    "cwe_ids" : [ "CWE-306", "CWE-94" ],
    "severity" : "HIGH",
    "github_reviewed" : true,
    "github_reviewed_at" : "2024-04-22T22:12:57Z",
    "nvd_published_at" : "2021-02-17T22:15:00Z"
  }
}