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fix: add integer overflow check in noise_suppression_interface.cpp#10886

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orbisai0security:fix-v004-ov-noise-suppression-shape-validation
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fix: add integer overflow check in noise_suppression_interface.cpp#10886
orbisai0security wants to merge 2 commits into
thesofproject:mainfrom
orbisai0security:fix-v004-ov-noise-suppression-shape-validation

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Summary

Fix high severity security issue in tools/plugin/modules/ov_noise_suppression/noise_suppression_interface.cpp.

Vulnerability

Field Value
ID V-004
Severity HIGH
Scanner multi_agent_ai
Rule V-004
File tools/plugin/modules/ov_noise_suppression/noise_suppression_interface.cpp:87
Assessment Confirmed exploitable
CWE CWE-190
Chain Complexity 2-step

Description: The OpenVINO noise suppression plugin retrieves input tensor shapes from model files at lines 87 and 143 without validating dimensions against expected ranges. A malicious or corrupted model file can specify extremely large dimensions (causing integer overflow in subsequent allocations) or zero-sized dimensions (causing zero-size allocation followed by writes), leading to out-of-bounds memory access.

Evidence

Exploitation scenario: An attacker supplies a crafted OpenVINO model file (.xml/.bin) where input shape dimensions are set to extremely large values or zero.

Scanner confirmation: multi_agent_ai rule V-004 flagged this pattern.

Production code: This file is in the production codebase, not test-only code.

Changes

  • tools/plugin/modules/ov_noise_suppression/noise_suppression_interface.cpp

Verification

  • Build passes
  • Scanner re-scan confirms fix
  • LLM code review passed

Security Invariant

Property: The security boundary is maintained under adversarial input

Regression test
#include <gtest/gtest.h>
#include <fstream>
#include <string>
#include <cstdlib>
#include <memory>

extern "C" {
    #include "tools/plugin/modules/ov_noise_suppression/noise_suppression_interface.h"
}

class NoiseSuppressionSecurityTest : public ::testing::TestWithParam<std::vector<int64_t>> {};

TEST_P(NoiseSuppressionSecurityTest, TensorShapeValidationMaintainsBounds) {
    // Invariant: Model input tensor shapes must not cause memory corruption
    // All allocations derived from tensor shapes must be within safe bounds
    
    std::vector<int64_t> dimensions = GetParam();
    
    // Create a minimal mock model file with specified dimensions
    std::string model_path = "/tmp/test_model_" + std::to_string(getpid()) + ".xml";
    std::ofstream model_file(model_path);
    model_file << "<?xml version=\"1.0\"?><net><layers><layer id=\"0\" name=\"input\" type=\"Parameter\">";
    model_file << "<output><port id=\"0\" precision=\"FP32\"><dim>";
    for (size_t i = 0; i < dimensions.size(); ++i) {
        if (i > 0) model_file << "</dim><dim>";
        model_file << dimensions[i];
    }
    model_file << "</dim></port></output></layer></layers></net>";
    model_file.close();
    
    struct noise_suppression_data *nd = (struct noise_suppression_data *)calloc(1, sizeof(*nd));
    ASSERT_NE(nd, nullptr);
    
    // Attempt to load model - should not crash or corrupt memory
    int result = noise_suppression_load_model(nd, model_path.c_str());
    
    if (result == 0 && nd->inp_shape.size() > 0) {
        // Verify shape dimensions are within reasonable bounds
        for (auto dim : nd->inp_shape) {
            EXPECT_GT(dim, 0) << "Dimension must be positive";
            EXPECT_LT(dim, 1000000) << "Dimension exceeds safe allocation limit";
        }
    }
    
    noise_suppression_destroy(nd);
    std::remove(model_path.c_str());
}

INSTANTIATE_TEST_SUITE_P(
    AdversarialShapes,
    NoiseSuppressionSecurityTest,
    ::testing::Values(
        std::vector<int64_t>{0x7FFFFFFFFFFFFFFF, 1024},  // Integer overflow case
        std::vector<int64_t>{0, 0},                       // Zero-size allocation
        std::vector<int64_t>{1, 480}                      // Valid input
    )
);

int main(int argc, char **argv) {
    ::testing::InitGoogleTest(&argc, argv);
    return RUN_ALL_TESTS();
}

This test guards against regressions — it's useful independent of the code change above.


Automated security fix by OrbisAI Security

@sofci

sofci commented Jun 11, 2026

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Can one of the admins verify this patch?

reply test this please to run this test once

@lgirdwood lgirdwood left a comment

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Can you add proper commit messages that add more detail describing each change and your sign off.

…sions

noise_suppression_load_model() and noise_suppression_first_iter() take
the input tensor shape directly from the OpenVINO model file via
nd->model->input(...).get_shape() and feed the resulting dimensions
into downstream size computations and allocations without any range
check.

A crafted or corrupted .xml/.bin model can specify dimensions that are
either zero (producing zero-sized allocations later written into) or
large enough that a subsequent multiplication overflows before being
used as a buffer length. Both lead to out-of-bounds memory access at
inference time. The same pattern exists for the per-iteration input
state shape, which is also read from the model.

After fetching each shape, walk its dimensions and reject the model
with -EINVAL if any dimension is zero or exceeds 1 << 24 (16 Mi
elements). The upper bound is well above any realistic noise
suppression tensor dimension and well below the point at which a
product of two such dimensions can overflow a 32-bit size on the
platforms this plugin targets, which closes the integer-overflow path
without rejecting valid models.

No functional change for well-formed models; malformed models now fail
the load instead of corrupting memory.

Reported-by: OrbisAI Security scanner (V-004, CWE-190)
Signed-off-by: OrbisAI Security <mediratta01.pally@gmail.com>
@orbisai0security orbisai0security force-pushed the fix-v004-ov-noise-suppression-shape-validation branch from 8893a34 to ed53bcd Compare June 12, 2026 13:54
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Can you add proper commit messages that add more detail describing each change and your sign off.

Done. Pls review.

@lgirdwood lgirdwood left a comment

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Just minor things. Looks good. @singalsu pls review.

#include <memory>

extern "C" {
#include "tools/plugin/modules/ov_noise_suppression/noise_suppression_interface.h"

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Its best if this test lives in the same directory as the OV module and has a valid Cmakefile for building.

std::vector<int64_t> dimensions = GetParam();

// Create a minimal mock model file with specified dimensions
std::string model_path = "/tmp/test_model_" + std::to_string(getpid()) + ".xml";

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We should be able to pass in via cmd line.

)
);

int main(int argc, char **argv) {

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abd we should have a -h help option to describe test and how to run.

@@ -0,0 +1,62 @@
#include <gtest/gtest.h>

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I assume CMake will check fro any dependency. Btw, missing copyright and license.

…ial model shapes

Add a regression test that exercises the input-shape guard introduced
in "tools: plugin: ov_noise_suppression: validate model input shape
dimensions". The test is a small C++ executable living next to the
module sources at
tools/plugin/modules/ov_noise_suppression/test_ns_shape_validation.cpp
and wired into the module's CMakeLists.txt inside the existing
if(OpenVINO_FOUND) block, so when OpenVINO is not installed the test
is skipped along with the module itself.

The test drives the public C API of the module
(ov_ns_init / ov_ns_free / NOISE_SUPPRESSION_MODEL_NAME) rather than
reaching into private structs, and is configurable from the command
line:

  --model PATH          use a caller-supplied OpenVINO model XML file.
  --dim N [--dim N ...] synthesize a minimal model XML with the given
                        input-port dimensions, write it to a temporary
                        file (mkstemps), and use that.
  --expect ok|reject    expected outcome; default "reject".
  -h, --help            print usage describing what the test does and
                        how to run it.

The mock-model writer emits the smallest XML that ov::Core::read_model()
will accept for a Parameter input with the configured shape, so
ov_ns_init() reaches the dimension-validation loop the previous commit
added. The test then asserts that ov_ns_init() returned 0 for
--expect ok and non-zero for --expect reject, and exits 0 (PASS) or 1
(FAIL) accordingly.

Two ctest cases are registered at CMake time covering the two
adversarial shapes that motivated the fix:

  ns_shape_zero      --dim 0 --dim 480                  # zero dim
  ns_shape_overflow  --dim 9223372036854775807 --dim 1024  # overflow

Real models can be exercised by invoking the executable directly with
--model PATH --expect ok.

Addresses review comments on PR thesofproject#10886:

  r3403937663 - move test next to the module, build via the module's
                CMakeLists so OpenVINO/dep checks are reused.
  r3403939540 - take the model file / shape parameters on the command
                line instead of hard-coding /tmp/test_model_<pid>.xml.
  r3403944866 - add a -h help option describing the test and its usage.
  r3403950342 - add the missing SPDX-License-Identifier and copyright
                header; let CMake gate the build on OpenVINO presence.

Signed-off-by: OrbisAI Security <mediratta01.pally@gmail.com>
@orbisai0security orbisai0security force-pushed the fix-v004-ov-noise-suppression-shape-validation branch from ed53bcd to 3effb1e Compare June 12, 2026 14:42
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Just minor things. Looks good. @singalsu pls review.

Addressed the issues. Pls review.

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3 participants