CVE-2025-48073 — openexr
CVE-2025-48073 is a NULL Pointer Dereference vulnerability in openexr. A fix is available for openexr — see the affected versions and patch details below.
OpenEXR ScanLineProcess::run_fill NULL Pointer Write In "reduceMemory" Mode
Exploitation Status
Proof-of-concept exploit code exists
- CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
Exploitation and automatability from CISA’s SSVC triage for CVE-2025-48073.
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
Real-World Exposure
openexrReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.
Description
Summary
When reading a deep scanline image with a large sample count in reduceMemory mode, it is possible to crash a target application with a NULL pointer dereference in a write operation.
Details
In the ScanLineProcess::run_fill function, implemented in src/lib/OpenEXR/ImfDeepScanLineInputFile.cpp, the following code is used to write the fillValue in the sample buffer:
switch (fills.type)
{
case OPENEXR_IMF_INTERNAL_NAMESPACE::UINT:
{
unsigned int fillVal = (unsigned int) (fills.fillValue);
unsigned int* fillptr = static_cast<unsigned int*> (dest);
for ( int32_t s = 0; s < samps; ++s )
fillptr[s] = fillVal; // <--- POTENTIAL CRASH HERE
break;
}
However, when reduceMemory mode is enabled in the readDeepScanLine function in src/lib/OpenEXRUtil/ImfCheckFile.cpp, with large sample counts, the sample data will not be read, as shown below:
// limit total number of samples read in reduceMemory mode
//
if (!reduceMemory ||
fileBufferSize + bufferSize < gMaxBytesPerDeepScanline) // <--- CHECK ON LARGE SAMPLE COUNTS AND reduceMemory
{
// SNIP...
try
{
in.readPixels (y);
}
Therefore, in those cases, the sample buffer would not be allocated, resulting in a potential write operation on a NULL pointer.
PoC
NOTE: please download the runfill_crash.exr file from the following link:
https://github.com/ShielderSec/poc/tree/main/CVE-2025-48073
- Compile the
exrcheckbinary in a macOS or GNU/Linux machine with ASAN. - Open the
runfill_crash.exrfile with the following command:
exrcheck -m runfill_crash.exr
- Notice that
exrcheckcrashes with ASAN stack-trace.
Impact
An attacker may cause a denial of service by crashing the application.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | openexr | ≥ 3.3.2&&< 3.3.3 | 3.3.3pip install --upgrade 'openexr==3.3.3' |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for openexr, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update openexr to 3.3.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2025-48073 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2025-48073 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2025-48073. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2025-48073 in your dependencies?
O3 Security finds CVE-2025-48073 across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.