FKIE_CVE-2016-1000110

Vulnerability from fkie_nvd - Published: 2019-11-27 17:15 - Updated: 2026-06-17 00:38
Severity
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
Summary
The CGIHandler class in Python before 2.7.12 does not protect against the HTTP_PROXY variable name clash in a CGI script, which could allow a remote attacker to redirect HTTP requests.
References
cve@mitre.orghttp://lists.opensuse.org/opensuse-security-announce/2020-01/msg00040.htmlMailing List, Third Party Advisory
cve@mitre.orghttps://bugzilla.redhat.com/show_bug.cgi?id=CVE-2016-1000110Issue Tracking, Third Party Advisory
cve@mitre.orghttps://bugzilla.suse.com/show_bug.cgi?id=CVE-2016-1000110Issue Tracking, Third Party Advisory
cve@mitre.orghttps://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7K3WFJO3SJQCODKRKU6EQV3ZGHH53YPU/
cve@mitre.orghttps://security-tracker.debian.org/tracker/CVE-2016-1000110Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108http://lists.opensuse.org/opensuse-security-announce/2020-01/msg00040.htmlMailing List, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2016-1000110Issue Tracking, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://bugzilla.suse.com/show_bug.cgi?id=CVE-2016-1000110Issue Tracking, Third Party Advisory
af854a3a-2127-422b-91ae-364da2661108https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7K3WFJO3SJQCODKRKU6EQV3ZGHH53YPU/
af854a3a-2127-422b-91ae-364da2661108https://security-tracker.debian.org/tracker/CVE-2016-1000110Third Party Advisory
Impacted products
Vendor Product Version
python python *
python python *
python python *
python python *
debian debian_linux 8.0
debian debian_linux 9.0
debian debian_linux 10.0
fedoraproject fedora 23
To clipboard 

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      "affectedData": [
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          "vendor": "n/a",
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "The CGIHandler class in Python before 2.7.12 does not protect against the HTTP_PROXY variable name clash in a CGI script, which could allow a remote attacker to redirect HTTP requests."
    },
    {
      "lang": "es",
      "value": "La clase CGIHandler en Python versiones anteriores a  la versi\u00f3n 2.7.12, no protege contra el conflicto de nombre de la variable HTTP_PROXY en un script CGI, lo que podr\u00eda permitir a un atacante remoto redireccionar las peticiones HTTP."
    }
  ],
  "id": "CVE-2016-1000110",
  "lastModified": "2026-06-17T00:38:41.627",
  "metrics": {
    "cvssMetricV2": [
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        "acInsufInfo": false,
        "baseSeverity": "MEDIUM",
        "cvssData": {
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          "accessVector": "NETWORK",
          "authentication": "NONE",
          "availabilityImpact": "NONE",
          "baseScore": 5.8,
          "confidentialityImpact": "PARTIAL",
          "integrityImpact": "PARTIAL",
          "vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
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        "obtainAllPrivilege": false,
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          "confidentialityImpact": "LOW",
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          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
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        "source": "nvd@nist.gov",
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  "published": "2019-11-27T17:15:14.090",
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      "tags": [
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  "vulnStatus": "Modified",
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          "lang": "en",
          "value": "CWE-601"
        }
      ],
      "source": "nvd@nist.gov",
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}



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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • 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.



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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.