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GHSA-cqjp-jf4r-h5q9

HighCVSS 7.5 / 10
Published Jul 31, 2026·Last modified Jul 31, 2026
Affected Components(0)

No affected components available

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.

  1. 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}
  1. C extension divides/modulos by columns_count without 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 convolution filter is enabled (it is enabled by default via BUILTIN_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)

Suggested remediation

  • In the C extension (thumbor/ext/filters/_convolution.c):
    • Reject columns_count <= 0 before any % or /.
  • In the Python filter (thumbor/filters/convolution.py):
    • Require columns to be non-zero (e.g., use BaseFilter.PositiveNonZeroNumber).
Risk Scores
Base Score
7.5

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the availability of the system.

Threat Intelligence
6.9

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
N/A

Probability that this vulnerability will be exploited in the wild within the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

Related Vulnerabilities
  • CVE-2026-53503
    Alias

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