AVID-2023-V009

Vulnerability from avid – Published: 2023-03-31 – Updated: 2023-03-31 ATLAS Case Study
Summary
Proof Pudding (CVE-2019-20634) is a code repository that describes how ML researchers evaded ProofPoint's email protection system by first building a copy-cat email protection ML model, and using the insights to bypass the live system. More specifically, the insights allowed researchers to craft malicious emails that received preferable scores, going undetected by the system. Each word in an email is scored numerically based on multiple variables and if the overall score of the email is too low, ProofPoint will output an error, labeling it as SPAM.
Risk domain
Security
SEP view
S0403: Adversarial Example
Lifecycle
L06: Deployment
Organisations
Affected artifacts
Artifact Type
ProofPoint Email Protection System System
References
URL Label
https://atlas.mitre.org/studies/AML.CS0008 ProofPoint Evasion
https://nvd.nist.gov/vuln/detail/CVE-2019-20634 National Vulnerability Database entry for CVE-2019-20634
https://github.com/moohax/Talks/blob/master/slide… 2019 DerbyCon presentation "42: The answer to life, the universe, and everything offensive security"
https://github.com/moohax/Proof-Pudding Proof Pudding (CVE-2019-20634) Implementation on GitHub
https://www.youtube.com/watch?v=CsvkYoxtexQ&ab_ch… 2019 DerbyCon video presentation "42: The answer to life, the universe, and everything offensive security"

{
  "affects": {
    "artifacts": [
      {
        "name": "ProofPoint Email Protection System",
        "type": "System"
      }
    ],
    "deployer": [
      "ProofPoint Email Protection System"
    ],
    "developer": []
  },
  "credit": null,
  "data_type": "AVID",
  "data_version": "0.2",
  "description": {
    "lang": "eng",
    "value": "Proof Pudding (CVE-2019-20634) is a code repository that describes how ML researchers evaded ProofPoint\u0027s email protection system by first building a copy-cat email protection ML model, and using the insights to bypass the live system. More specifically, the insights allowed researchers to craft malicious emails that received preferable scores, going undetected by the system. Each word in an email is scored numerically based on multiple variables and if the overall score of the email is too low, ProofPoint will output an error, labeling it as SPAM."
  },
  "impact": {
    "avid": {
      "lifecycle_view": [
        "L06: Deployment"
      ],
      "risk_domain": [
        "Security"
      ],
      "sep_view": [
        "S0403: Adversarial Example"
      ],
      "taxonomy_version": "0.2"
    }
  },
  "last_modified_date": "2023-03-31",
  "metadata": {
    "vuln_id": "AVID-2023-V009"
  },
  "problemtype": {
    "classof": "ATLAS Case Study",
    "description": {
      "lang": "eng",
      "value": "ProofPoint Evasion"
    },
    "type": "Advisory"
  },
  "published_date": "2023-03-31",
  "references": [
    {
      "label": "ProofPoint Evasion",
      "type": "source",
      "url": "https://atlas.mitre.org/studies/AML.CS0008"
    },
    {
      "label": "National Vulnerability Database entry for CVE-2019-20634",
      "type": "source",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-20634"
    },
    {
      "label": "2019 DerbyCon presentation \"42: The answer to life, the universe, and everything offensive security\"",
      "type": "source",
      "url": "https://github.com/moohax/Talks/blob/master/slides/DerbyCon19.pdf"
    },
    {
      "label": "Proof Pudding (CVE-2019-20634) Implementation on GitHub",
      "type": "source",
      "url": "https://github.com/moohax/Proof-Pudding"
    },
    {
      "label": "2019 DerbyCon video presentation \"42: The answer to life, the universe, and everything offensive security\"",
      "type": "source",
      "url": "https://www.youtube.com/watch?v=CsvkYoxtexQ\u0026ab_channel=AdrianCrenshaw"
    }
  ],
  "reports": null
}


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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

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.

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Detection rules are retrieved from Rulezet.

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