Flawfinder version 2.0.10, (C) 2001-2019 David A. Wheeler. Number of rules (primarily dangerous function names) in C/C++ ruleset: 223 Examining data/python-thinc-6.12.1/include/_cuda_shim.h Examining data/python-thinc-6.12.1/include/msvc9/stdint.h Examining data/python-thinc-6.12.1/include/murmurhash/MurmurHash2.h Examining data/python-thinc-6.12.1/include/murmurhash/MurmurHash3.h Examining data/python-thinc-6.12.1/include/numpy/__multiarray_api.h Examining data/python-thinc-6.12.1/include/numpy/__ufunc_api.h Examining data/python-thinc-6.12.1/include/numpy/_neighborhood_iterator_imp.h Examining data/python-thinc-6.12.1/include/numpy/_numpyconfig.h Examining data/python-thinc-6.12.1/include/numpy/arrayobject.h Examining data/python-thinc-6.12.1/include/numpy/arrayscalars.h Examining data/python-thinc-6.12.1/include/numpy/halffloat.h Examining data/python-thinc-6.12.1/include/numpy/ndarrayobject.h Examining data/python-thinc-6.12.1/include/numpy/ndarraytypes.h Examining data/python-thinc-6.12.1/include/numpy/noprefix.h Examining data/python-thinc-6.12.1/include/numpy/npy_3kcompat.h Examining data/python-thinc-6.12.1/include/numpy/npy_common.h Examining data/python-thinc-6.12.1/include/numpy/npy_cpu.h Examining data/python-thinc-6.12.1/include/numpy/npy_deprecated_api.h Examining data/python-thinc-6.12.1/include/numpy/npy_endian.h Examining data/python-thinc-6.12.1/include/numpy/npy_interrupt.h Examining data/python-thinc-6.12.1/include/numpy/npy_math.h Examining data/python-thinc-6.12.1/include/numpy/npy_no_deprecated_api.h Examining data/python-thinc-6.12.1/include/numpy/npy_os.h Examining data/python-thinc-6.12.1/include/numpy/numpyconfig.h Examining data/python-thinc-6.12.1/include/numpy/old_defines.h Examining data/python-thinc-6.12.1/include/numpy/oldnumeric.h Examining data/python-thinc-6.12.1/include/numpy/ufuncobject.h Examining data/python-thinc-6.12.1/include/numpy/utils.h Examining data/python-thinc-6.12.1/include/prng/MT19937.h Examining data/python-thinc-6.12.1/include/prng/exponential.h Examining data/python-thinc-6.12.1/include/prng/normal.h Examining data/python-thinc-6.12.1/include/prng/shared.h FINAL RESULTS: data/python-thinc-6.12.1/include/numpy/ndarraytypes.h:322:22: [4] (format) fprintf: If format strings can be influenced by an attacker, they can be exploited (CWE-134). Use a constant for the format specification. #define NPY_ERR(str) fprintf(stderr, #str); fflush(stderr); data/python-thinc-6.12.1/include/numpy/ndarraytypes.h:323:23: [4] (format) fprintf: If format strings can be influenced by an attacker, they can be exploited (CWE-134). Use a constant for the format specification. #define NPY_ERR2(str) fprintf(stderr, str); fflush(stderr); data/python-thinc-6.12.1/include/numpy/npy_3kcompat.h:242:15: [2] (misc) open: Check when opening files - can an attacker redirect it (via symlinks), force the opening of special file type (e.g., device files), move things around to create a race condition, control its ancestors, or change its contents? (CWE-362). PyObject *open; data/python-thinc-6.12.1/include/numpy/npy_3kcompat.h:247:34: [2] (misc) open: Check when opening files - can an attacker redirect it (via symlinks), force the opening of special file type (e.g., device files), move things around to create a race condition, control its ancestors, or change its contents? (CWE-362). return PyObject_CallFunction(open, "Os", filename, mode); ANALYSIS SUMMARY: Hits = 4 Lines analyzed = 8669 in approximately 0.25 seconds (34505 lines/second) Physical Source Lines of Code (SLOC) = 6274 Hits@level = [0] 1 [1] 0 [2] 2 [3] 0 [4] 2 [5] 0 Hits@level+ = [0+] 5 [1+] 4 [2+] 4 [3+] 2 [4+] 2 [5+] 0 Hits/KSLOC@level+ = [0+] 0.79694 [1+] 0.637552 [2+] 0.637552 [3+] 0.318776 [4+] 0.318776 [5+] 0 Dot directories skipped = 2 (--followdotdir overrides) Minimum risk level = 1 Not every hit is necessarily a security vulnerability. There may be other security vulnerabilities; review your code! See 'Secure Programming HOWTO' (https://dwheeler.com/secure-programs) for more information.