ALSA-2021:4149 (CVE-2020-35653)

Vulnerability from osv_almalinux – Published: 2021-11-09 08:24 – Updated: 2021-11-12 10:20 – Source website
VLAI
Summary
Moderate: python-pillow security update
Details

The python-pillow packages contain a Python image processing library that provides extensive file format support, an efficient internal representation, and powerful image-processing capabilities.

Security Fix(es):

  • python-pillow: Out-of-bounds read in J2K image reader (CVE-2021-25287)

  • python-pillow: Out-of-bounds read in J2K image reader (CVE-2021-25288)

  • python-pillow: Negative-offset memcpy in TIFF image reader (CVE-2021-25290)

  • python-pillow: Regular expression DoS in PDF format parser (CVE-2021-25292)

  • python-pillow: Out-of-bounds read in SGI RLE image reader (CVE-2021-25293)

  • python-pillow: Excessive memory allocation in BLP image reader (CVE-2021-27921)

  • python-pillow: Excessive memory allocation in ICNS image reader (CVE-2021-27922)

  • python-pillow: Excessive memory allocation in ICO image reader (CVE-2021-27923)

  • python-pillow: Excessive memory allocation in PSD image reader (CVE-2021-28675)

  • python-pillow: Infinite loop in FLI image reader (CVE-2021-28676)

  • python-pillow: Excessive CPU use in EPS image reader (CVE-2021-28677)

  • python-pillow: Excessive looping in BLP image reader (CVE-2021-28678)

  • python-pillow: Buffer overflow in image convert function (CVE-2021-34552)

  • python-pillow: Buffer over-read in PCX image reader (CVE-2020-35653)

  • python-pillow: Buffer over-read in SGI RLE image reader (CVE-2020-35655)

For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.

Additional Changes:

For detailed information on changes in this release, see the AlmaLinux Release Notes linked from the References section.

References
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "AlmaLinux:8",
        "name": "python3-pillow"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "5.1.1-16.el8"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "details": "The python-pillow packages contain a Python image processing library that provides extensive file format support, an efficient internal representation, and powerful image-processing capabilities.\n\nSecurity Fix(es):\n\n* python-pillow: Out-of-bounds read in J2K image reader (CVE-2021-25287)\n\n* python-pillow: Out-of-bounds read in J2K image reader (CVE-2021-25288)\n\n* python-pillow: Negative-offset memcpy in TIFF image reader (CVE-2021-25290)\n\n* python-pillow: Regular expression DoS in PDF format parser (CVE-2021-25292)\n\n* python-pillow: Out-of-bounds read in SGI RLE image reader (CVE-2021-25293)\n\n* python-pillow: Excessive memory allocation in BLP image reader (CVE-2021-27921)\n\n* python-pillow: Excessive memory allocation in ICNS image reader (CVE-2021-27922)\n\n* python-pillow: Excessive memory allocation in ICO image reader (CVE-2021-27923)\n\n* python-pillow: Excessive memory allocation in PSD image reader (CVE-2021-28675)\n\n* python-pillow: Infinite loop in FLI image reader (CVE-2021-28676)\n\n* python-pillow: Excessive CPU use in EPS image reader (CVE-2021-28677)\n\n* python-pillow: Excessive looping in BLP image reader (CVE-2021-28678)\n\n* python-pillow: Buffer overflow in image convert function (CVE-2021-34552)\n\n* python-pillow: Buffer over-read in PCX image reader (CVE-2020-35653)\n\n* python-pillow: Buffer over-read in SGI RLE image reader (CVE-2020-35655)\n\nFor more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.\n\nAdditional Changes:\n\nFor detailed information on changes in this release, see the AlmaLinux Release Notes linked from the References section.",
  "id": "ALSA-2021:4149",
  "modified": "2021-11-12T10:20:56Z",
  "published": "2021-11-09T08:24:34Z",
  "references": [
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2020-35653"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2020-35655"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-25287"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-25288"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-25290"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-25292"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-25293"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-27921"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-27922"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-27923"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-28675"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-28676"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-28677"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-28678"
    },
    {
      "type": "REPORT",
      "url": "https://vulners.com/cve/CVE-2021-34552"
    }
  ],
  "related": [
    "CVE-2020-35653",
    "CVE-2020-35655",
    "CVE-2021-25287",
    "CVE-2021-25288",
    "CVE-2021-25290",
    "CVE-2021-25292",
    "CVE-2021-25293",
    "CVE-2021-27921",
    "CVE-2021-27922",
    "CVE-2021-27923",
    "CVE-2021-28675",
    "CVE-2021-28676",
    "CVE-2021-28677",
    "CVE-2021-28678",
    "CVE-2021-34552"
  ],
  "schema_version": "1.7.0",
  "summary": "Moderate: python-pillow security update",
  "upstream": [
    "CVE-2020-35653",
    "CVE-2020-35655",
    "CVE-2021-25287",
    "CVE-2021-25288",
    "CVE-2021-25290",
    "CVE-2021-25292",
    "CVE-2021-25293",
    "CVE-2021-27921",
    "CVE-2021-27922",
    "CVE-2021-27923",
    "CVE-2021-28675",
    "CVE-2021-28676",
    "CVE-2021-28677",
    "CVE-2021-28678",
    "CVE-2021-34552"
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON
How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Loading timeline…




    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.