Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Pin setuptools version to 70.0.0 in requirements.txt #10

Merged
merged 1 commit into from
Jul 16, 2024

fix: keras_retinanet/requirements.txt to reduce vulnerabilities

d6bc837
Select commit
Loading
Failed to load commit list.
Merged

Pin setuptools version to 70.0.0 in requirements.txt #10

fix: keras_retinanet/requirements.txt to reduce vulnerabilities
d6bc837
Select commit
Loading
Failed to load commit list.
NShiftKey / NShiftKey - open source vulnerability check required action Jul 16, 2024 in 6m 4s

Summary

  • 1657 security issue(s)
    • High : 375
    • Medium : 607
    • Low : 675

Details

NShiftKey

  • numpy: 1.14


      • CVE-2019-6446 [CVE link] [ignore this]

        • Description : An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources
            

      • CVE-2021-34141 [CVE link] [ignore this]

        • Description : An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."
            
      • CVE-2021-41496 [CVE link] [ignore this]

        • Description : Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally)
            
      • CVE-2021-41495 [CVE link] [ignore this]

        • Description : Null Pointer Dereference vulnerability exists in numpy.sort in NumPy &lt and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays. NOTE: While correct that validation is missing, an error can only occur due to an exhaustion of memory. If the user can exhaust memory, they are already privileged. Further, it should be practically impossible to construct an attack which can target the memory exhaustion to occur at exactly this place