## Summary When Pillow loads an uncompressed image whose tile uses the `raw` codec and a mode in `Image._MAPMODES`, and the image was opened **from a filename**, it memory-maps the file and builds the image's row pointers directly into the mapping via `PyImaging_MapBuffer` (`src/map.c`). The...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| Microsoft APM | pip | < 12.3.0 | 12.3.0 |
Do you use Microsoft APM? You're affected.
How severe is it?
What should I do?
Patch available
Update Microsoft APM to version 12.3.0
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is CVE-2026-54058?
## Summary When Pillow loads an uncompressed image whose tile uses the `raw` codec and a mode in `Image._MAPMODES`, and the image was opened **from a filename**, it memory-maps the file and builds the image's row pointers directly into the mapping via `PyImaging_MapBuffer` (`src/map.c`). The per-row spacing (`stride`) is taken from the tile arguments. `map.c` validates `offset + ysize*stride <= buffer_len` but **never checks that `stride` is at least the natural row width `xsize * pixelsize`**. The **McIdas** AREA plugin (`McIdasImagePlugin.py`) derives `stride`, `offset`, `xsize`, and `ysize` directly from attacker-controlled 32-bit header words with no validation. By supplying a `stride` far smaller than the row width, an attacker makes each row pointer read `xsize*pixelsize` bytes that run past the mapped region. Accessing the pixels (e.g. `Image.tobytes()`, `getpixel`, `convert`, `save`) then reads adjacent process memory (information disclosure) or faults (SIGBUS, denial of service). ## Complete Code Trace **Step 1: `McIdasImageFile._open`** - turns attacker header words into image size, file offset, and row stride with no validation. ```python # src/PIL/McIdasImagePlugin.py:41-70 s = self.fp.read(256) if not _accept(s) or len(s) != 256: # _accept: prefix == b"\x00\x00\x00\x00\x00\x00\x00\x04" raise SyntaxError(...) self.area_descriptor = w = [0, *struct.unpack("!64i", s)] # w[1..64] = signed BE int32, ALL attacker-controlled if w[11] == 1: mode = rawmode = "L" # pixelsize 1, in _MAPMODES elif w[11] == 2: mode = rawmode = "I;16B" # pixelsize 2, in _MAPMODES ... self._mode = mode self._size = w[10], w[9] # (xsize, ysize) <-- attacker offset = w[34] + w[15] # <-- attacker stride = w[15] + w[10] * w[11] * w[14] # <-- attacker (set w[14]=0, w[15]=1 => stride=1) self.tile = [ ImageFile._Tile("raw", (0, 0) + self.size, offset, (rawmode, stride, 1)) ] ``` **Step 2: `ImageFile.load` (mmap branch)** - selects mmap and delegates to `map_buffer`. ```python # src/PIL/ImageFile.py:322-348 if use_mmap: # use_mmap = self.filename and len(self.tile) == 1 decoder_name, extents, offset, args = self.tile[0] if (decoder_name == "raw" and isinstance(args, tuple) and len(args) >= 3 and args[0] == self.mode and args[0] in Image._MAPMODES): if offset < 0: # only lower-bound guard on offset raise ValueError("Tile offset cannot be negative") with open(self.filename) as fp: self.map = mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ) if offset + self.size[1] * args[1] > self.map.size(): # == offset + ysize*stride; NO stride>=linesize check raise OSError("buffer is not large enough") self.im = Image.core.map_buffer( self.map, self.size, decoder_name, offset, args # args = ("L", stride, 1) ) ``` **Step 3: `PyImaging_MapBuffer`** - builds row pointers at `stride` spacing into the mmap; validates everything except `stride >= row width`. ```c /* src/map.c:65-140 */ if (!PyArg_ParseTuple(args, "O(ii)sn(sii)", &target, &xsize, &ysize, &codec, &offset, &mode_name, &stride, &ystep)) return NULL; ... const ModeID mode = findModeID(mode_name); /* "L" */ if (stride <= 0) { /* attacker sets stride=1 (>0) -> NOT recomputed */ if (mode == IMAGING_MODE_L || mode == IMAGING_MODE_P) stride = xsize; else if (isModeI16(mode)) stride = xsize * 2; else stride = xsize * 4; } if (stride > 0 && ysize > PY_SSIZE_T_MAX / stride) {/* overflow guard only */ PyErr_SetString(PyExc_MemoryError, "Integer overflow in ysize"); return NULL; } size = (Py_ssize_t)ysize * stride; /* = 1*1 = 1 */ if (offset > PY_SSIZE_T_MAX - size) { ... } ... if (offset + size > view.len) { /* 1 + 1 = 2 <= 256 -> PASSES */ PyErr_SetString(PyExc_ValueError, "buffer is not large enough"); PyBuffer_Release(&view); return NULL; } im = ImagingNewPrologueSubtype(mode, xsize, ysize, sizeof(ImagingBufferInstance)); /* im->linesize = xsize * pixelsize = 200000 (the REAL per-row read width) */ /* setup file pointers -- NO check that stride >= im->linesize */ if (ystep > 0) { for (y = 0; y < ysize; y++) { im->image[y] = (char *)view.buf + offset + y * stride; /* row points into mmap, spacing=1 */ } } else { ... } ``` `im->linesize` (the number of bytes any consumer reads per row) is `xsize * pixelsize = 200000`, but the row pointers are only `stride = 1` byte apart and the buffer is only `offset + ysize*stride = 2` bytes "claimed". Nothing reconciles the two. **Step 4: pixel access (`Image.tobytes()` → raw encoder `copy1`)** - reads `linesize` bytes from `im->image[0]`, i.e. `xsize` bytes starting at `view.buf + offset`, running far past the mmap. ```c /* the raw "L" packer copies linesize (=xsize) bytes per row from im->image[y]; for row 0 that is view.buf+1 .. view.buf+1+200000, vs a 256-byte file. */ ``` ## Chain Summary ``` SOURCE: McIdas AREA header words w[9],w[10],w[11],w[14],w[15],w[34] (Image.open on a path) ↓ McIdasImagePlugin._open: stride = w[15]+w[10]*w[11]*w[14] -> attacker sets stride=1 [McIdasImagePlugin.py:66] ↓ tile = ("raw", (0,0,xsize,1), offset, ("L", 1, 1)) [McIdasImagePlugin.py:68] GADGET: ImageFile.load mmap branch -- only checks offset+ysize*stride<=len <- BUG: no stride>=linesize check [ImageFile.py:343] ↓ core.map_buffer(map, (xsize,1), "raw", offset, ("L",1,1)) [ImageFile.py:346] SINK: PyImaging_MapBuffer: im->image[0] = view.buf + offset + 0*stride; linesize=xsize [map.c:134] ↓ Image.tobytes() raw "L" encoder reads linesize (=xsize) bytes from im->image[0] IMPACT: reads xsize bytes from a tiny mmap -> OOB read of adjacent process memory (leak) or SIGBUS (DoS) ``` ## Proof of Concept See attached [poc.zip](https://github.com/user-attachments/files/28460498/poc.zip) ## Impact on a Parent Application Any application that opens image files supplied by users **from a path on disk** (the common pattern: save upload to a temp file, then `Image.open(path)`), has the default plugin set (McIdas is registered by default), and subsequently reads/returns/re-encodes the decoded pixels (thumbnailing, format conversion, serving a preview), is exposed: - **Information disclosure (High):** the decoded "image" contains bytes of the worker process's adjacent heap/mapped memory, which the app then serves or stores - potentially leaking secrets, credentials, or other users' data. - **Denial of service (High):** a larger `xsize` reliably crashes the worker with SIGBUS. ## Suggested fix Core fix in `src/map.c` (`PyImaging_MapBuffer`): reject `offset < 0` and `stride < im->linesize`. Defense-in-depth in `McIdasImagePlugin._open`: reject `offset < 0` or `stride < xsize*pixelsize` .
Is CVE-2026-54058 actively exploited?
No confirmed active exploitation of CVE-2026-54058 has been reported, but organizations should still patch proactively.
How to fix CVE-2026-54058?
Update to patched version: Microsoft APM 12.3.0.
What is the CVSS score for CVE-2026-54058?
No CVSS score has been assigned yet.
What are the technical details?
Original Advisory
## Summary When Pillow loads an uncompressed image whose tile uses the `raw` codec and a mode in `Image._MAPMODES`, and the image was opened **from a filename**, it memory-maps the file and builds the image's row pointers directly into the mapping via `PyImaging_MapBuffer` (`src/map.c`). The per-row spacing (`stride`) is taken from the tile arguments. `map.c` validates `offset + ysize*stride <= buffer_len` but **never checks that `stride` is at least the natural row width `xsize * pixelsize`**. The **McIdas** AREA plugin (`McIdasImagePlugin.py`) derives `stride`, `offset`, `xsize`, and `ysize` directly from attacker-controlled 32-bit header words with no validation. By supplying a `stride` far smaller than the row width, an attacker makes each row pointer read `xsize*pixelsize` bytes that run past the mapped region. Accessing the pixels (e.g. `Image.tobytes()`, `getpixel`, `convert`, `save`) then reads adjacent process memory (information disclosure) or faults (SIGBUS, denial of service). ## Complete Code Trace **Step 1: `McIdasImageFile._open`** - turns attacker header words into image size, file offset, and row stride with no validation. ```python # src/PIL/McIdasImagePlugin.py:41-70 s = self.fp.read(256) if not _accept(s) or len(s) != 256: # _accept: prefix == b"\x00\x00\x00\x00\x00\x00\x00\x04" raise SyntaxError(...) self.area_descriptor = w = [0, *struct.unpack("!64i", s)] # w[1..64] = signed BE int32, ALL attacker-controlled if w[11] == 1: mode = rawmode = "L" # pixelsize 1, in _MAPMODES elif w[11] == 2: mode = rawmode = "I;16B" # pixelsize 2, in _MAPMODES ... self._mode = mode self._size = w[10], w[9] # (xsize, ysize) <-- attacker offset = w[34] + w[15] # <-- attacker stride = w[15] + w[10] * w[11] * w[14] # <-- attacker (set w[14]=0, w[15]=1 => stride=1) self.tile = [ ImageFile._Tile("raw", (0, 0) + self.size, offset, (rawmode, stride, 1)) ] ``` **Step 2: `ImageFile.load` (mmap branch)** - selects mmap and delegates to `map_buffer`. ```python # src/PIL/ImageFile.py:322-348 if use_mmap: # use_mmap = self.filename and len(self.tile) == 1 decoder_name, extents, offset, args = self.tile[0] if (decoder_name == "raw" and isinstance(args, tuple) and len(args) >= 3 and args[0] == self.mode and args[0] in Image._MAPMODES): if offset < 0: # only lower-bound guard on offset raise ValueError("Tile offset cannot be negative") with open(self.filename) as fp: self.map = mmap.mmap(fp.fileno(), 0, access=mmap.ACCESS_READ) if offset + self.size[1] * args[1] > self.map.size(): # == offset + ysize*stride; NO stride>=linesize check raise OSError("buffer is not large enough") self.im = Image.core.map_buffer( self.map, self.size, decoder_name, offset, args # args = ("L", stride, 1) ) ``` **Step 3: `PyImaging_MapBuffer`** - builds row pointers at `stride` spacing into the mmap; validates everything except `stride >= row width`. ```c /* src/map.c:65-140 */ if (!PyArg_ParseTuple(args, "O(ii)sn(sii)", &target, &xsize, &ysize, &codec, &offset, &mode_name, &stride, &ystep)) return NULL; ... const ModeID mode = findModeID(mode_name); /* "L" */ if (stride <= 0) { /* attacker sets stride=1 (>0) -> NOT recomputed */ if (mode == IMAGING_MODE_L || mode == IMAGING_MODE_P) stride = xsize; else if (isModeI16(mode)) stride = xsize * 2; else stride = xsize * 4; } if (stride > 0 && ysize > PY_SSIZE_T_MAX / stride) {/* overflow guard only */ PyErr_SetString(PyExc_MemoryError, "Integer overflow in ysize"); return NULL; } size = (Py_ssize_t)ysize * stride; /* = 1*1 = 1 */ if (offset > PY_SSIZE_T_MAX - size) { ... } ... if (offset + size > view.len) { /* 1 + 1 = 2 <= 256 -> PASSES */ PyErr_SetString(PyExc_ValueError, "buffer is not large enough"); PyBuffer_Release(&view); return NULL; } im = ImagingNewPrologueSubtype(mode, xsize, ysize, sizeof(ImagingBufferInstance)); /* im->linesize = xsize * pixelsize = 200000 (the REAL per-row read width) */ /* setup file pointers -- NO check that stride >= im->linesize */ if (ystep > 0) { for (y = 0; y < ysize; y++) { im->image[y] = (char *)view.buf + offset + y * stride; /* row points into mmap, spacing=1 */ } } else { ... } ``` `im->linesize` (the number of bytes any consumer reads per row) is `xsize * pixelsize = 200000`, but the row pointers are only `stride = 1` byte apart and the buffer is only `offset + ysize*stride = 2` bytes "claimed". Nothing reconciles the two. **Step 4: pixel access (`Image.tobytes()` → raw encoder `copy1`)** - reads `linesize` bytes from `im->image[0]`, i.e. `xsize` bytes starting at `view.buf + offset`, running far past the mmap. ```c /* the raw "L" packer copies linesize (=xsize) bytes per row from im->image[y]; for row 0 that is view.buf+1 .. view.buf+1+200000, vs a 256-byte file. */ ``` ## Chain Summary ``` SOURCE: McIdas AREA header words w[9],w[10],w[11],w[14],w[15],w[34] (Image.open on a path) ↓ McIdasImagePlugin._open: stride = w[15]+w[10]*w[11]*w[14] -> attacker sets stride=1 [McIdasImagePlugin.py:66] ↓ tile = ("raw", (0,0,xsize,1), offset, ("L", 1, 1)) [McIdasImagePlugin.py:68] GADGET: ImageFile.load mmap branch -- only checks offset+ysize*stride<=len <- BUG: no stride>=linesize check [ImageFile.py:343] ↓ core.map_buffer(map, (xsize,1), "raw", offset, ("L",1,1)) [ImageFile.py:346] SINK: PyImaging_MapBuffer: im->image[0] = view.buf + offset + 0*stride; linesize=xsize [map.c:134] ↓ Image.tobytes() raw "L" encoder reads linesize (=xsize) bytes from im->image[0] IMPACT: reads xsize bytes from a tiny mmap -> OOB read of adjacent process memory (leak) or SIGBUS (DoS) ``` ## Proof of Concept See attached [poc.zip](https://github.com/user-attachments/files/28460498/poc.zip) ## Impact on a Parent Application Any application that opens image files supplied by users **from a path on disk** (the common pattern: save upload to a temp file, then `Image.open(path)`), has the default plugin set (McIdas is registered by default), and subsequently reads/returns/re-encodes the decoded pixels (thumbnailing, format conversion, serving a preview), is exposed: - **Information disclosure (High):** the decoded "image" contains bytes of the worker process's adjacent heap/mapped memory, which the app then serves or stores - potentially leaking secrets, credentials, or other users' data. - **Denial of service (High):** a larger `xsize` reliably crashes the worker with SIGBUS. ## Suggested fix Core fix in `src/map.c` (`PyImaging_MapBuffer`): reject `offset < 0` and `stride < im->linesize`. Defense-in-depth in `McIdasImagePlugin._open`: reject `offset < 0` or `stride < xsize*pixelsize` .
Weaknesses (CWE)
CWE-125 — Out-of-bounds Read: The product reads data past the end, or before the beginning, of the intended buffer.
- [Implementation] Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does. When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue." Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylis
- [Architecture and Design] Use a language that provides appropriate memory abstractions.
Source: MITRE CWE corpus.
References
- github.com/advisories/GHSA-62p4-gmf7-7g93
- github.com/python-pillow/Pillow/commit/6a8de891fb00968e5ea79bfa84368ed90b3cfc1d
- github.com/python-pillow/Pillow/pull/9719
- github.com/python-pillow/Pillow/releases/tag/12.3.0
- github.com/python-pillow/Pillow/security/advisories/GHSA-62p4-gmf7-7g93
- nvd.nist.gov/vuln/detail/CVE-2026-54058
Timeline
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