TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denia
TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must
TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully valid
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully
TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` fa
TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsuppor
TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `i
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is
TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either
TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, th
TensorFlow is an open source platform for machine learning. When `MaxPool` receives a window size input array `ksize` wi
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_chann
TensorFlow is an open source platform for machine learning. If `RaggedTensorToVariant` is given a `rt_nested_splits` lis
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVarsPerChannel` is given `min` or `ma
TensorFlow is an open source platform for machine learning. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits`
TensorFlow is an open source platform for machine learning. When `TensorListScatter` and `TensorListScatterV2` receive a
TensorFlow is an open source platform for machine learning. When `TensorListFromTensor` receives an `element_shape` of a
TensorFlow is an open source platform for machine learning. When `SetSize` receives an input `set_shape` that is not a 1
TensorFlow is an open source platform for machine learning. When `CollectiveGather` receives an scalar input `input`, it
TensorFlow is an open source platform for machine learning. When `AudioSummaryV2` receives an input `sample_rate` with m
TensorFlow is an open source platform for machine learning. If `tf.sparse.cross` receives an input `separator` that is n
TensorFlow is an open source platform for machine learning. If `EmptyTensorList` receives an input `element_shape` with
TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inp
TensorFlow is an open source platform for machine learning. When `DrawBoundingBoxes` receives an input `boxes` that is n
TensorFlow is an open source platform for machine learning. When `Unbatch` receives a nonscalar input `id`, it gives a `
TensorFlow is an open source platform for machine learning. When `RandomPoissonV2` receives large input shape and rates,
TensorFlow is an open source platform for machine learning. When `tf.random.gamma` receives large input shape and rates,
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient`
TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is giv
TensorFlow is an open source platform for machine learning. When `tensorflow::full_type::SubstituteFromAttrs` receives a
wire-ios is an iOS client for the Wire secure messaging application. Invalid accent colors of Wire communication partner
A Denial of Service vulnerability exists in Binaryen 104 due to an assertion abort in wasm::WasmBinaryBuilder::readFunct
A Denial of Service vulnerability exists in Binaryen 104 due to an assertion abort in wasm::Tuple::validate.
A Denial of Service vulnerability exists in Binaryen 104 due to an assertion abort in wasm::WasmBinaryBuilder::visitReth
A Denial of Service vulnerability exists in Binaryen 104 due to an assertion abort in wasm::WasmBinaryBuilder::visitReth
There is an Assertion 'opts & PARSER_CLASS_LITERAL_CTOR_PRESENT' failed at /parser/js/js-parser-expr.c(parser_parse_clas
There is an Assertion 'page_p != NULL' failed at /parser/js/js-parser-mem.c(parser_list_get) in JerryScript 3.0.0.
There is an Assertion 'ecma_is_lexical_environment (object_p)' failed at /base/ecma-helpers.c(ecma_get_lex_env_type) in
There is an Assertion 'lit_is_valid_cesu8_string (string_p, string_size)' failed at /base/ecma-helpers-string.c(ecma_new
There is an Assertion 'context_p->stack_top_uint8 == SCAN_STACK_TRY_STATEMENT || context_p->stack_top_uint8 == SCAN_STAC
There is an Assertion 'ecma_is_lexical_environment (obj_p) || !ecma_op_object_is_fast_array (obj_p)' failed at /jerry-co
There is an Assertion 'context_p->token.type == LEXER_LITERAL' failed at /jerry-core/parser/js/js-parser-expr.c in Jerry
There is an Assertion 'flags & PARSER_PATTERN_HAS_REST_ELEMENT' failed at /jerry-core/parser/js/js-parser-expr.c in Jerr
There is an Assertion 'cesu8_cursor_p == cesu8_end_p' failed at /jerry-core/lit/lit-strings.c in JerryScript 3.0.0.
There is an Assertion 'local_tza == ecma_date_local_time_zone_adjustment (date_value)' failed at /jerry-core/ecma/builti
Frequently Asked Questions
What is CWE-617?
CWE-617 (CWE-617) is a weakness category in the Common Weakness Enumeration (CWE) system maintained by MITRE. It describes a class of software or hardware vulnerability that can lead to security issues.
How many CVEs are classified as CWE-617?
There are 926 CVE records associated with CWE-617 in our database. Of these, 4 are critical severity, 323 are high severity, and 439 are medium severity.
How can I protect against CWE-617 vulnerabilities?
Protection strategies depend on the specific weakness type. General measures include input validation, secure coding practices, regular security testing, and keeping software up to date. CyberStrike can help by automatically scanning your infrastructure for vulnerabilities related to CWE-617 using AI-powered security agents.
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