GHSA-cqjp-jf4r-h5q9 is a high-severity (CVSS 7.5) Improper Input Validation vulnerability in thumbor. O3 Security confirms whether GHSA-cqjp-jf4r-h5q9 is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.
Thumbor convolution filter allows divide-by-zero in C extension leading to remote DoS
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.
- CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
Exploitation and automatability from CISA’s SSVC triage for GHSA-cqjp-jf4r-h5q9.
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.
How urgent is this, really
GHSA-cqjp-jf4r-h5q9 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 372,613 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
thumborReal-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
Thumbor's filters:convolution(<matrix>, <columns>, <should_normalize>) filter passes the user-controlled <columns> value to a C extension (thumbor/ext/filters/_convolution.c) where it is used as a divisor (for % and /) without validating columns > 0. When columns=0, the C code triggers undefined behavior; on x86_64 this reliably results in a fatal divide-by-zero trap (SIGFPE) and crashes the Thumbor process (confirmed on Linux x86_64 and macOS Intel x86_64), causing a remote denial of service.
Details
Root cause
The Python filter accepts columns=0, and the native C extension uses columns_count as a divisor without validating it.
- Python filter entry point allows
columns=0(thumbor/filters/convolution.py):
@filter_method(
r"(?:[-]?[\d]+\.?[\d]*[;])*(?:[-]?[\d]+\.?[\d]*)",
BaseFilter.PositiveNumber, # accepts 0
BaseFilter.Boolean,
)
async def convolution(self, matrix, columns, should_normalize=True):
...
imgdata = _convolution.apply(..., matrix, columns, should_normalize)
BaseFilter.PositiveNumber matches "0" (thumbor/filters/__init__.py):
class BaseFilter:
PositiveNumber = {"regex": r"[\d]+", "parse": int} # matches "0"
PositiveNonZeroNumber = {"regex": r"[\d]*[1-9][\d]*", "parse": int}
- C extension divides/modulos by
columns_countwithout a zero check (thumbor/ext/filters/_convolution.c):
kernel_size = PyTuple_Size(kernel_tuple);
if ((kernel_size % columns_count != 0) ||
(kernel_size % 2 == 0) ||
((kernel_size / columns_count) % 2) == 0) {
// TODO: error, not a valid kernel
return NULL;
}
PoC
Test environment
- Linux x86_64
Preconditions
- The
convolutionfilter is enabled (it is enabled by default viaBUILTIN_FILTERS). - Either:
/unsafe/URLs are allowed (ALLOW_UNSAFE_URL=True), OR/unsafe/is disabled, and the attacker has a valid signed URL (i.e., the attacker is an authorized user/partner, or can obtain signed URLs from a trusted signing service).
Example request (signed URL)
http://<host>:<port>/<url-sign>/400x400/filters:convolution(1;2;1;2;4;2;1;2;1,0,true)/example.jpg
Example request (/unsafe/)
http://<host>:<port>/unsafe/400x400/filters:convolution(1;2;1;2;4;2;1;2;1,0,true)/example.jpg
Impact
- Remote Denial of Service via process crash (SIGFPE) on x86_64 (confirmed on Linux x86_64 and macOS Intel x86_64).
- Exploitability depends on deployment:
- If
/unsafe/is enabled: unauthenticated remote DoS. - If
/unsafe/is disabled: the attacker needs a valid signed URL.(i.e., the attacker is an authorized user/partner, or can obtain signed URLs from a trusted signing service)
- If
Suggested remediation
- In the C extension (
thumbor/ext/filters/_convolution.c):- Reject
columns_count <= 0before any%or/.
- Reject
- In the Python filter (
thumbor/filters/convolution.py):- Require
columnsto be non-zero (e.g., useBaseFilter.PositiveNonZeroNumber).
- Require
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| 🐍PyPI | thumbor | all versions | 7.8.0 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for thumbor. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.
Fix
Update thumbor to 7.8.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-cqjp-jf4r-h5q9 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 pinpoints whether GHSA-cqjp-jf4r-h5q9 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.
Tailored to GHSA-cqjp-jf4r-h5q9. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is GHSA-cqjp-jf4r-h5q9 in your dependencies?
O3 detects GHSA-cqjp-jf4r-h5q9 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.