OESA-2022-1887 (CVE-2020-28463)

Vulnerability from osv_openeuler – Published: 2022-09-02 11:05 – Updated: 2026-08-06 11:05 – Source website
VLAI
Summary
python-reportlab security update
Details

The ReportLab Toolkit. An Open Source Python library for generating PDFs and graphics.

Security Fix(es):

All versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes & trustedHosts (see in Reportlab's documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -> odyssey -> dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject <img src="http://127.0.0.1:5000" valign="top"/> 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF(CVE-2020-28463)

Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
References
To clipboard 

{
  "affected": [
    {
      "ecosystem_specific": {
        "aarch64": [
          "python-reportlab-debuginfo-3.6.10-1.oe1.aarch64.rpm",
          "python-reportlab-debugsource-3.6.10-1.oe1.aarch64.rpm",
          "python3-reportlab-3.6.10-1.oe1.aarch64.rpm"
        ],
        "noarch": [
          "python-reportlab-help-3.6.10-1.oe1.noarch.rpm"
        ],
        "src": [
          "python-reportlab-3.6.10-1.oe1.src.rpm"
        ],
        "x86_64": [
          "python3-reportlab-3.6.10-1.oe1.x86_64.rpm",
          "python-reportlab-debugsource-3.6.10-1.oe1.x86_64.rpm",
          "python-reportlab-debuginfo-3.6.10-1.oe1.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:20.03-LTS-SP1",
        "name": "python-reportlab",
        "purl": "pkg:rpm/openEuler/python-reportlab\u0026distro=openEuler-20.03-LTS-SP1"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.6.10-1.oe1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "ecosystem_specific": {
        "aarch64": [
          "python-reportlab-debuginfo-3.6.10-1.oe1.aarch64.rpm",
          "python-reportlab-debugsource-3.6.10-1.oe1.aarch64.rpm",
          "python3-reportlab-3.6.10-1.oe1.aarch64.rpm"
        ],
        "noarch": [
          "python-reportlab-help-3.6.10-1.oe1.noarch.rpm"
        ],
        "src": [
          "python-reportlab-3.6.10-1.oe1.src.rpm"
        ],
        "x86_64": [
          "python-reportlab-debuginfo-3.6.10-1.oe1.x86_64.rpm",
          "python3-reportlab-3.6.10-1.oe1.x86_64.rpm",
          "python-reportlab-debugsource-3.6.10-1.oe1.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:20.03-LTS-SP3",
        "name": "python-reportlab",
        "purl": "pkg:rpm/openEuler/python-reportlab\u0026distro=openEuler-20.03-LTS-SP3"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.6.10-1.oe1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    },
    {
      "ecosystem_specific": {
        "aarch64": [
          "python-reportlab-debugsource-3.6.10-1.oe2203.aarch64.rpm",
          "python3-reportlab-3.6.10-1.oe2203.aarch64.rpm",
          "python-reportlab-debuginfo-3.6.10-1.oe2203.aarch64.rpm"
        ],
        "noarch": [
          "python-reportlab-help-3.6.10-1.oe2203.noarch.rpm"
        ],
        "src": [
          "python-reportlab-3.6.10-1.oe2203.src.rpm"
        ],
        "x86_64": [
          "python3-reportlab-3.6.10-1.oe2203.x86_64.rpm",
          "python-reportlab-debuginfo-3.6.10-1.oe2203.x86_64.rpm",
          "python-reportlab-debugsource-3.6.10-1.oe2203.x86_64.rpm"
        ]
      },
      "package": {
        "ecosystem": "openEuler:22.03-LTS",
        "name": "python-reportlab",
        "purl": "pkg:rpm/openEuler/python-reportlab\u0026distro=openEuler-22.03-LTS"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "3.6.10-1.oe2203"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "severity": "Medium"
  },
  "details": "The ReportLab Toolkit. An Open Source Python library for generating PDFs and graphics.\r\n\r\nSecurity Fix(es):\r\n\r\nAll versions of package reportlab are vulnerable to Server-side Request Forgery (SSRF) via img tags. In order to reduce risk, use trustedSchemes \u0026amp; trustedHosts (see in Reportlab\u0026apos;s documentation) Steps to reproduce by Karan Bamal: 1. Download and install the latest package of reportlab 2. Go to demos -\u0026gt; odyssey -\u0026gt; dodyssey 3. In the text file odyssey.txt that needs to be converted to pdf inject \u0026lt;img src=\u0026quot;http://127.0.0.1:5000\u0026quot; valign=\u0026quot;top\u0026quot;/\u0026gt; 4. Create a nc listener nc -lp 5000 5. Run python3 dodyssey.py 6. You will get a hit on your nc showing we have successfully proceded to send a server side request 7. dodyssey.py will show error since there is no img file on the url, but we are able to do SSRF(CVE-2020-28463)",
  "id": "OESA-2022-1887",
  "modified": "2026-08-06T11:05:09Z",
  "published": "2022-09-02T11:05:09Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://www.openeuler.org/en/security/safety-bulletin/detail.html?id=openEuler-SA-2022-1887"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2020-28463"
    }
  ],
  "schema_version": "1.7.2",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "python-reportlab security update",
  "upstream": [
    "CVE-2020-28463"
  ]
}



Log in or create an account to share your comment.




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.


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.