CVE-2023-1000 (GCVE-0-2023-1000)

Vulnerability from cvelistv5 – Published: 2024-04-27 09:00 – Updated: 2024-08-02 05:32
VLAI
Title
cyanomiko dcnnt-py Notification notifications.py main command injection
Summary
A vulnerability was found in cyanomiko dcnnt-py up to 0.9.0. It has been classified as critical. Affected is the function main of the file dcnnt/plugins/notifications.py of the component Notification Handler. The manipulation leads to command injection. It is possible to launch the attack remotely. Upgrading to version 0.9.1 is able to address this issue. The patch is identified as b4021d784a97e25151a5353aa763a741e9a148f5. It is recommended to upgrade the affected component. VDB-262230 is the identifier assigned to this vulnerability.
Severity
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
6.3 (Medium)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
cyanomiko dcnnt-py Affected: 0.1
Affected: 0.2
Affected: 0.3
Affected: 0.4
Affected: 0.5
Affected: 0.6
Affected: 0.7
Affected: 0.8
Affected: 0.9
Create a notification for this product.
Credits
VulDB GitHub Commit Analyzer
Show details on NVD website
To clipboard 

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It has been classified as critical. Affected is the function main of the file dcnnt/plugins/notifications.py of the component Notification Handler. The manipulation leads to command injection. It is possible to launch the attack remotely. Upgrading to version 0.9.1 is able to address this issue. The patch is identified as b4021d784a97e25151a5353aa763a741e9a148f5. It is recommended to upgrade the affected component. VDB-262230 is the identifier assigned to this vulnerability.\"}, {\"lang\": \"de\", \"value\": \"Es wurde eine kritische Schwachstelle in cyanomiko dcnnt-py bis 0.9.0 ausgemacht. Es betrifft die Funktion main der Datei dcnnt/plugins/notifications.py der Komponente Notification Handler. Dank Manipulation mit unbekannten Daten kann eine command injection-Schwachstelle ausgenutzt werden. Der Angriff kann \\u00fcber das Netzwerk erfolgen. Ein Aktualisieren auf die Version 0.9.1 vermag dieses Problem zu l\\u00f6sen. Der Patch wird als b4021d784a97e25151a5353aa763a741e9a148f5 bezeichnet. Als bestm\\u00f6gliche Massnahme wird das Einspielen eines Upgrades empfohlen.\"}], \"problemTypes\": [{\"descriptions\": [{\"lang\": \"en\", \"type\": \"CWE\", \"cweId\": \"CWE-77\", \"description\": \"CWE-77 Command Injection\"}]}], \"providerMetadata\": {\"orgId\": \"1af790b2-7ee1-4545-860a-a788eba489b5\", \"shortName\": \"VulDB\", \"dateUpdated\": \"2024-04-27T09:00:05.235Z\"}}}",
      "cveMetadata": "{\"cveId\": \"CVE-2023-1000\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2024-08-02T05:32:46.050Z\", \"dateReserved\": \"2023-02-24T07:39:11.714Z\", \"assignerOrgId\": \"1af790b2-7ee1-4545-860a-a788eba489b5\", \"datePublished\": \"2024-04-27T09:00:05.235Z\", \"assignerShortName\": \"VulDB\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}


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Tags
Taxonomy of the tags.





Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.