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CVE-2016-0772 (GCVE-0-2016-0772)

Vulnerability from cvelistv5 – Published: 2016-09-02 14:00 – Updated: 2024-08-05 22:30
VLAI
Summary
The smtplib library in CPython (aka Python) before 2.7.12, 3.x before 3.4.5, and 3.5.x before 3.5.2 does not return an error when StartTLS fails, which might allow man-in-the-middle attackers to bypass the TLS protections by leveraging a network position between the client and the registry to block the StartTLS command, aka a "StartTLS stripping attack."
CWE
  • n/a
Date Public
2016-06-11 00:00
Show details on NVD website

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      "sourceIdentifier": "secalert@redhat.com",
      "vulnStatus": "Modified",
      "weaknesses": "[{\"source\": \"nvd@nist.gov\", \"type\": \"Primary\", \"description\": [{\"lang\": \"en\", \"value\": \"CWE-693\"}]}]"
    },
    "nvd": "{\"cve\":{\"id\":\"CVE-2016-0772\",\"sourceIdentifier\":\"secalert@redhat.com\",\"published\":\"2016-09-02T14:59:00.127\",\"lastModified\":\"2026-05-06T22:30:45.220\",\"vulnStatus\":\"Modified\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"The smtplib library in CPython (aka Python) before 2.7.12, 3.x before 3.4.5, and 3.5.x before 3.5.2 does not return an error when StartTLS fails, which might allow man-in-the-middle attackers to bypass the TLS protections by leveraging a network position between the client and the registry to block the StartTLS command, aka a \\\"StartTLS stripping attack.\\\"\"},{\"lang\":\"es\",\"value\":\"La librer\u00eda smtplib en CPython (tambi\u00e9n conocido como Python) en versiones anteriores a 2.7.12, 3.x en versiones anteriores a 3.4.5 y 3.5.x en versiones anteriores a 3.5.2 no devuelve un error cuando StartTLS falla, lo que podr\u00eda permitir a atacantes man-in-the-middle eludir las protecciones TLS mediante el aprovechamiento de una posici\u00f3n de red entre el cliente y el registro para bloquear el comando StartTLS, tambi\u00e9n conocido como un \\\"ataque de decapado 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    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2026-06-28T10:59:59+00:00",
      "cve": "CVE-2016-0772",
      "id": "CVE-2016-0772",
      "initial_release_date": "2016-06-11T00:00:00+00:00",
      "product_status:fixed": "416",
      "product_status:known_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "python: smtplib StartTLS stripping attack",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2016/cve-2016-0772.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2026-09-01T02:22:36Z",
      "cve": "CVE-2016-0772",
      "id": "CVE-2016-0772",
      "initial_release_date": "2023-02-15T05:09:12Z",
      "product_status:known_affected": "320",
      "product_status:known_not_affected": "465",
      "product_status:recommended": "1444",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2016-0772",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2016-0772.json",
      "version": "55"
    }
  }
}



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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.
  • 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.

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Related by attack behaviour

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.


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