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Pillow CVE-2026-54059

| EUVDEUVD-2026-41899 HIGH
Memory Allocation with Excessive Size Value (CWE-789)
2026-07-06 GitHub_M GHSA-8v84-f9pq-wr9x PYSEC-2026-2253
7.5
CVSS 3.1 · Vendor: GitHub_M
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Severity by source

Vendor (GitHub_M) PRIMARY
7.5 HIGH
AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vuln.today AI
7.5 HIGH

Untrusted PCF font data can arrive over the network with no auth or interaction, but impact is memory-exhaustion DoS only, so C/I:N and A:H.

3.1 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
SUSE
HIGH
qualitative
Red Hat
7.5 HIGH
qualitative

Primary rating from Vendor (GitHub_M).

CVSS VectorVendor: GitHub_M

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Lifecycle Timeline

2
Patch available
Jul 06, 2026 - 20:02 EUVD
Analysis Generated
Jul 06, 2026 - 19:33 vuln.today

Blast Radius

ecosystem impact
† from your stack dependencies † transitive graph · vuln.today resolves 4-path depth
  • 92,414 pypi packages depend on pillow (20,218 direct, 73,743 indirect)

Ecosystem-wide dependent count for version 12.3.0.

DescriptionCVE.org

Pillow is a Python imaging library. Prior to 12.3.0, PIL/PcfFontFile.py _load_bitmaps() read glyph dimensions from the PCF METRICS section and passed them directly to Image.frombytes() without calling Image._decompression_bomb_check(), allowing crafted PCF font data to cause excessive memory allocation. This issue is fixed in version 12.3.0.

AnalysisAI

Uncontrolled memory allocation in the Python Pillow imaging library (all versions prior to 12.3.0) allows a crafted PCF bitmap font to exhaust process memory and crash the host application. The PcfFontFile bitmap loader trusts attacker-supplied glyph dimensions from the font's METRICS section and hands them straight to Image.frombytes() while skipping Pillow's decompression-bomb guard. There is no public exploit identified at time of analysis and it is not listed in CISA KEV; the flaw is an availability-only denial of service (CVSS 7.5), not the information disclosure implied by the source tag.

Technical ContextAI

Pillow is the de facto Python imaging library used for decoding, manipulating and rendering images and fonts. The defect is in PIL/PcfFontFile.py, which parses X11 PCF (Portable Compiled Format) bitmap fonts. In _load_bitmaps(), glyph width/height values are read from the font's METRICS section and passed directly to Image.frombytes() without first invoking Image._decompression_bomb_check(), the safeguard Pillow normally uses to reject implausibly large image dimensions. The root cause maps to CWE-789 (Memory Allocation with Excessive Size Value): a size field controlled by untrusted input drives an unbounded allocation. Because the dimensions come from the font file rather than a validated source, a single crafted PCF file can request an allocation far larger than any legitimate glyph.

RemediationAI

Upgrade to Pillow 12.3.0 or later, which adds the missing Image._decompression_bomb_check() call to _load_bitmaps() (fix commit 0a263e6264aa5399988d9acd3bbfbca2ca3ec77d). This is a vendor-released patch: version 12.3.0. If an immediate upgrade is not possible, avoid loading untrusted or user-supplied PCF font files, or restrict font loading to a vetted allowlist of trusted fonts, since the vulnerable path is only reachable through PCF parsing; where feasible, run image/font processing in a memory-limited sandbox (e.g., cgroup/ulimit-bounded worker) so an oversized allocation kills only the worker rather than the whole service - the trade-off being added operational complexity and potential loss of throughput. Consult GHSA-8v84-f9pq-wr9x and the 12.3.0 release notes for details.

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Vendor StatusVendor

SUSE

Severity: Important
Product Status
SUSE Liberty Linux 8 Fixed
SUSE Linux Enterprise Module for Package Hub 15 SP7 Fixed
SUSE Linux Enterprise Server 16.0 SUSE Linux Enterprise Server for SAP applications 16.0 Fixed
openSUSE Leap 16.0 Fixed
openSUSE Tumbleweed Fixed

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CVE-2026-54059 vulnerability details – vuln.today

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