Informational scan, not a security audit. How this is computed.
API keys, passwords or tokens committed into the repo.
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Packages you depend on that have known security holes (CVEs).
CVE-2020-11538 python-pillow: out-of-bounds reads/writes in the parsing of SGI image files in expandrow/expandrow2CVE-2020-5310 python-pillow: Integer overflow leading to buffer overflow in ImagingLibTiffDecodeCVE-2020-5311 python-pillow: out-of-bounds write in expandrow in libImaging/SgiRleDecode.cCVE-2020-5312 python-pillow: improperly restricted operations on memory buffer in libImaging/PcxDecode.cCVE-2021-25289 python-pillow: insufficent fix for CVE-2020-35654 due to incorrect error checking in TiffDecode.cCVE-2021-34552 python-pillow: Buffer overflow in image convert functionCVE-2022-22817 python-pillow: PIL.ImageMath.eval allows evaluation of arbitrary expressionsCVE-2023-50447 pillow: Arbitrary Code Execution via the environment parameterCVE-2024-3660 A arbitrary code injection vulnerability in TensorFlow's Keras framewo ...CVE-2019-6446 numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code executionCVE-2018-7575 Integer Overflow or Wraparound in Google TensorFlowCVE-2021-41208 Incomplete validation in boosted trees codeCVE-2023-25668 CVE-2023-25668 affecting package tensorflow for versions less than 2.11.1-1GHSA-h6gw-r52c-724r NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlowCVE-2018-1000656 python-flask: Denial of Service via crafted JSON fileCVE-2019-1010083 python-flask: unexpected memory usage can lead to denial of service via crafted encoded JSON dataCVE-2023-30861 flask: Possible disclosure of permanent session cookie due to missing Vary: Cookie headerCVE-2019-16865 python-pillow: reading specially crafted image files leads to allocation of large amounts of memory and denial of serviceCVE-2019-19911 python-pillow: uncontrolled resource consumption in FpxImagePlugin.pyCVE-2020-10177 python-pillow: multiple out-of-bounds reads in libImaging/FliDecode.cCVE-2020-10378 python-pillow: an out-of-bounds read in libImaging/PcxDecode.c can occur when reading PCX filesCVE-2020-10379 python-pillow: two buffer overflows in libImaging/TiffDecode.c due to small buffers allocated in ImagingLibTiffDecode()CVE-2020-10994 python-pillow: multiple out-of-bounds reads via a crafted JP2 fileCVE-2020-35653 python-pillow: Buffer over-read in PCX image readerCVE-2020-35654 python-pillow: decoding crafted YCbCr files could result in heap-based buffer overflowYour dependencies cross-checked against the OSV vulnerability database.
PYSEC-2020-80 In libImaging/SgiRleDecode.c in Pillow through 7.0.0, a number of out-of-bounds reads exist in the parsing of SGI image files, a different issue than CVE-2020-5311.PYSEC-2020-81 libImaging/TiffDecode.c in Pillow before 6.2.2 has a TIFF decoding integer overflow, related to realloc.PYSEC-2020-82 libImaging/SgiRleDecode.c in Pillow before 6.2.2 has an SGI buffer overflow.PYSEC-2020-83 libImaging/PcxDecode.c in Pillow before 6.2.2 has a PCX P mode buffer overflow.PYSEC-2021-137 An issue was discovered in Pillow before 8.2.0. There is an out-of-bounds read in J2kDecode, in j2ku_graya_la.PYSEC-2021-138 An issue was discovered in Pillow before 8.2.0. There is an out-of-bounds read in J2kDecode, in j2ku_gray_i.PYSEC-2021-331 Pillow through 8.2.0 and PIL (aka Python Imaging Library) through 1.1.7 allow an attacker to pass controlled parameters directly into a convert function to trigger a buffer overflow in Convert.c.PYSEC-2021-35 An issue was discovered in Pillow before 8.1.1. TiffDecode has a heap-based buffer overflow when decoding crafted YCbCr files because of certain interpretation conflicts with LibTIFF in RGBA mode. NOTPYSEC-2022-10 PIL.ImageMath.eval in Pillow before 9.0.0 allows evaluation of arbitrary expressions, such as ones that use the Python exec method.PYSEC-2022-168 Pillow before 9.0.1 allows attackers to delete files because spaces in temporary pathnames are mishandled.PYSEC-2026-457 Arbitrary Code Execution in PillowPYSEC-2026-1486 Keras Directory Traversal VulnerabilityPYSEC-2026-369 Keras code injection vulnerabilityPYSEC-2019-108 ** DISPUTED ** 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 objectPYSEC-2019-205 Google TensorFlow 1.7.x and earlier is affected by a Buffer Overflow vulnerability. The type of exploitation is context-dependent.PYSEC-2020-125 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However,PYSEC-2020-128 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `data_splits` argument of `tf.raw_ops.StringNGrams` lacks validation. This allows a user to pass values that can cause heap ovePYSEC-2020-129 In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruptPYSEC-2021-400 TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of servPYSEC-2026-548 TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operationGHSA-h6gw-r52c-724r NULL Pointer Dereference and Access of Uninitialized Pointer in TensorFlowGHSA-r6jx-9g48-2r5r Arbitrary code execution due to YAML deserializationPYSEC-2018-66 The Pallets Project flask version Before 0.12.3 contains a CWE-20: Improper Input Validation vulnerability in flask that can result in Large amount of memory usage possibly leading to denial of servicPYSEC-2019-179 The Pallets Project Flask before 1.0 is affected by: unexpected memory usage. The impact is: denial of service. The attack vector is: crafted encoded JSON data. The fixed version is: 1. NOTE: this mayPYSEC-2023-62 Flask is a lightweight WSGI web application framework. When all of the following conditions are met, a response containing data intended for one client may be cached and subsequently sent by the proxyCode that can be exploited: injection, hardcoded credentials and similar.
Nothing found by this check. ✓
Packages that look intentionally malicious: typosquats, sneaky install scripts.
Nothing found by this check. ✓
A signal about how the project is maintained — not a vulnerability in your code. It doesn’t affect the verdict above.
Maintenance & supply-chain hygiene. A signal about the project, not a vulnerability in your code.
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