CVE-2026-59991

highpriority · track · 0EPSS 0.005 · 44 %ileUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
0.52% (44th) EPSS
CVSS 7.5 · high
Is it mine?
1 products
Check your exposure
Who says so?
1 sources
osv

EPSS · scored 2026-10-28

psd-tools is a Python package for working with Adobe Photoshop PSD files. Prior to 1.17.4, PSDImage.composite() and PSDImage.numpy() allocated output buffers from attacker-controlled PSD header geometry, including width, height, channels, depth, and per-layer rectangles, before validating those values against the available file data. A tiny crafted PSD could therefore cause multi-gigabyte memory allocation, and PSDImage.composite() could return a black image with only a warning instead of raising an exception. Services that composite untrusted PSD files could be terminated by out-of-memory handling. This issue is fixed in version 1.17.4.

01

cvss

Technical severity, 0–10. One row per scoring source.

7.5
010

base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · medium–high · 6.9–7.5

v3.17.5highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:Hsecondary · security-advisories@github.comexploitability 3.9 · impact 3.6
v3.17.5highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:Hsecondary · OSV
v3.16.9mediumCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:Usecondary · CVSS-BT (t0sche)
02

ssvc

A stakeholder decision — act, attend, or track — from exploitation and impact.

Exploitation: poc · Automatable: yes · Technical Impact: partialcoordinatorcisa_ssvcUS
03

weaknesses

The CWE weakness classes this flaw belongs to.

04

affected products (1)

Products and version ranges known to be affected.

05

advisories (2)

Vendor and ecosystem advisories describing this.

  • GHSA-8q6g-vjhf-jp8mpsd-tools composite/numpy has uncontrolled memory allocation via crafted PSD geometry2026-09-22ghsa · osvUS

    ### Summary `PSDImage.composite()` (and `.numpy()`) allocate the output image buffer from the PSD's header geometry (width × height × channels × depth, and per-layer rectangles) before validating those values against the actual file contents. A tiny crafted PSD declaring huge dimensions causes a multi-gigabyte allocation. Critically, `composite()` then returns a (black) image with only a warning, no exception is raised, so a caller cannot detect or guard against it. ### Impact On psd-tools 1.17.2 (latest), default usage, a 49-byte PSD makes `composite()` commit ~3 GB and return successfully (warning only); `.numpy()` reaches ~7.5 GB, and the per-layer rectangle is a second lever (up to ~32 GB), all from an input under 100 bytes (input-to-commit amplification over 1000×). Because the buffer is committed before validation and no exception is thrown, any service that composites untrusted PSDs is exposed to denial of service: on a host with less RAM than the attacker-declared geometry the allocation is an unrecoverable OOM-kill. ### Steps to reproduce ```python # pip install psd-tools==1.17.2 from psd_tools import PSDImage psd = PSDImage.open("psd-psdtools-grammar-d23.psd") psd.composite() # commits ~3 GB from a 49-byte file and returns (warning only) ``` PoC (49 bytes), reconstruct with: ```sh base64 -d > psd-psdtools-grammar-d23.psd <<'EOF' OEJQUwABAAAAAAAAAAYAACg4AAAXTAAIAAMAAAAAAAAAAAAAAAAAAUNIUIFU+yQtDw== EOF ``` Verify: ``` 7d8ebf03a54393cb0359ecf4b676d1b08c9a8c6afdd06671ef406d6893cce826 psd-psdtools-grammar-d23.psd ``` ### Root cause The composite/numpy buffer is sized from the declared image (and per-layer) dimensions and channel/depth without checking them against the available data length or a sane maximum. ### Suggested fix Validate the declared dimensions, channel count, and per-layer rectangles against the actual file length (and a configurable maximum pixel/byte budget) before allocating; raise an error on overflow instead of committing the buffer and returning a black image.

  • PYSEC-2026-4139psd-tools composite/numpy has uncontrolled memory allocation via crafted PSD geometry2026-10-01vendor · osvUS

    ### Summary `PSDImage.composite()` (and `.numpy()`) allocate the output image buffer from the PSD's header geometry (width × height × channels × depth, and per-layer rectangles) before validating those values against the actual file contents. A tiny crafted PSD declaring huge dimensions causes a multi-gigabyte allocation. Critically, `composite()` then returns a (black) image with only a warning, no exception is raised, so a caller cannot detect or guard against it. ### Impact On psd-tools 1.17.2 (latest), default usage, a 49-byte PSD makes `composite()` commit ~3 GB and return successfully (warning only); `.numpy()` reaches ~7.5 GB, and the per-layer rectangle is a second lever (up to ~32 GB), all from an input under 100 bytes (input-to-commit amplification over 1000×). Because the buffer is committed before validation and no exception is thrown, any service that composites untrusted PSDs is exposed to denial of service: on a host with less RAM than the attacker-declared geometry the allocation is an unrecoverable OOM-kill. ### Steps to reproduce ```python # pip install psd-tools==1.17.2 from psd_tools import PSDImage psd = PSDImage.open("psd-psdtools-grammar-d23.psd") psd.composite() # commits ~3 GB from a 49-byte file and returns (warning only) ``` PoC (49 bytes), reconstruct with: ```sh base64 -d > psd-psdtools-grammar-d23.psd <<'EOF' OEJQUwABAAAAAAAAAAYAACg4AAAXTAAIAAMAAAAAAAAAAAAAAAAAAUNIUIFU+yQtDw== EOF ``` Verify: ``` 7d8ebf03a54393cb0359ecf4b676d1b08c9a8c6afdd06671ef406d6893cce826 psd-psdtools-grammar-d23.psd ``` ### Root cause The composite/numpy buffer is sized from the declared image (and per-layer) dimensions and channel/depth without checking them against the available data length or a sane maximum. ### Suggested fix Validate the declared dimensions, channel count, and per-layer rectangles against the actual file length (and a configurable maximum pixel/byte budget) before allocating; raise an error on overflow instead of committing the buffer and returning a black image.

06

also known as (2)

Other names and identifiers for this entity.

07

sources

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published 2026-09-22modified 2026-09-23
09

references (3) nvd

External citations — patches, advisories, analysis.

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