PyPI · Pillow
Pillow multi-frame loaders can reuse stale native image storage after mode transitions
Pillow multi-frame image loaders can retain native ImagingCore storage allocated for one frame while changing the Python-side image mode and decoder tiles for a later frame.
If frame 0 allocates storage for a narrow mode such as L, and a later frame of the same dimensions switches to a wider mode such as RGB or CMYK, Pillow may decode wider pixels into the stale narrow native buffer. This causes native
out-of-bounds writes and process crashes. In the MPO/JPEG path, I also demonstrated command execution in matching Python/Pillow runtime profiles through Pillow's documented ImageSequence.Iterator + frame.load() path.
The root cause appears to be that ImageFile.load_prepare() only reallocates native storage when _im is None. It does not verify that the retained native ImagingCore storage still matches self.mode and self.size.
Several multi-frame seek() / _open() paths can update self._mode and decoder tiles for a later frame without invalidating _im. The decoder then writes or reads according to the new frame mode while the native storage still belongs to the old frame mode.
Verified affected surfaces:
PSD
PsdImageFile.seek() can switch from grayscale/native L storage to RGB layer decoding while retaining _im. This produces attacker-controlled native out-of-bounds writes and reliable crashes.
MPO/JPEG
A crafted two-frame MPO can make frame 0 allocate L storage, then make frame 1 decode CMYK / RGB data into the retained L storage. The documented ImageSequence.Iterator path reaches this with frame.load().
Verified native memory corruption, crash, over-read behavior, and scoped harmless-marker command execution on Pillow 12.3.0.
DCX
DcxImageFile.seek() calls PcxImageFile._open(), which changes mode/tile state without a native-storage mode guard. A crafted DCX with L then RGB PCX frames produces retained-storage mismatch and crash.
MIC
MIC can call TiffImageFile._open() directly and bypass TIFF's normal guarded seek() behavior. With a NextIFD-based reachable frame transition, this produces retained-storage mismatch and crash.
TIFF appears to be a useful positive control because its seek() path checks
both size and mode before reusing storage.
Stronger proven impact:
Server-side deployment impact:
_im=None control was clean 10/10 times.Tested version:
Pillow 12.3.0
MPO terminal proof environments:
Python 3.12.3 + Pillow 12.3.0, clean PyPI environment:
marker 10/10, control 0/10
Python 3.13.14 + Pillow 12.3.0, prepared profile:
marker 10/10, control 0/10
Server-side web-upload proof:
control 1..10: MARKER_MISSING
control_summary ok 0 missing 10 /10
vulnerable 1..10: MARKER_OK marker_output <server-user>
vulnerable_summary ok 10 missing 0 /10
The terminal proof uses a fixed harmless marker command only. It does not use a reverse shell, persistence, data exfiltration, or arbitrary attacker-selected commands.
I can provide the following private artifacts to maintainers:
For the MPO path, the vulnerable consumer shape is:
from io import BytesIO
from PIL import Image, ImageSequence
source = BytesIO(open(path, "rb").read())
image = Image.open(source)
iterator = ImageSequence.Iterator(image)
next(iterator).load()
next(iterator).load()
The crafted image shape is:
frame 0: mode L, dimensions W x H
frame 1: same W x H, wider mode such as CMYK
Frame 0 allocates native L storage. Frame 1 changes the logical mode and decoder state but can reuse the old native storage. The frame 1 decoder writes using the wider mode into the narrow storage.
Before reusing native ImagingCore storage, Pillow should verify that the retained storage is compatible with the current logical image mode and size.
A central guard in ImageFile.load_prepare() could compare native storage mode/size against self.mode / self.size and allocate fresh storage when they differ. Alternatively, every mode-changing seek() / _open() path should explicitly invalidate _im before decoding.
Caution: TIFF has specialized tile-size behavior and already has a mode/size guard, so a central fix should avoid regressing TIFF tile-buffer handling.
Rotem Kama
AI-assisted analysis was used for discovery and verification support. Claims in this report are limited to the local artifacts, controls, and command outputs described above.
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Check my repoSources: CISA KEV (public domain), OSV.dev & GitHub Advisory Database (CC-BY-4.0), FIRST EPSS, NVD/CWE (public domain). Served live from the Stateward advisory database.