CVE-2025-71380

CVE-2025-71380 : The n8n Execute Command node is vulnerable to arbitrary command execution by authenticated users on the host running n8n. The issue allows user- or credential-compromised attackers to run commands that could exfiltrate data, disrupt services, or fully compromise the host. Concret...

CVE-2025-71373

CVE-2025-71373 : picklescan before 0.0.33 fails to detect operator.methodcaller calls in pickle files, allowing remote attackers to craft payloads that execute arbitrary code when loaded, compromising systems relying on picklescan for validation.

CVE-2025-71369

CVE-2025-71369 affects the Python utility picklescan (versions prior to 0.0.28). The vulnerability arises when pickle files leverage torch.utils.data.datapipes.utils.decoder.basichandlers in reduce methods, enabling bypass of safety checks and allowing remote code execution during deserialization...

CVE-2025-71372

Summary: CVE-2025-71372 affects Picklescan prior to 0.0.33. The vulnerability arises from failure to detect the numpy.f2py.crackfortran.getlincoef gadget within pickle reduce methods, enabling an attacker to craft malicious pickle files that execute arbitrary Python code when loaded and could poi...

CVE-2025-71367

CVE-2025-71367 affects picklescan before 0.0.34. The root cause is a failure to detect _operator.attrgetter calls inside pickle payloads, allowing remote attackers to craft malicious pickle files using _operator.attrgetter in reduce methods and achieve arbitrary code execution when pickle.load() ...

CVE-2025-71366

CVE-2025-71366 affects picklescan versions before 0.0.28. The flaw is a failure to detect malicious torch.utils.bottleneck.main .run_cprofile calls inside pickle files, allowing remote attackers to embed undetected code that executes when a victim loads the pickle. The available documents do not ...

CVE-2025-71362

The vulnerability CVE-2025-71362 affects the Python tool picklescan prior to version 0.0.33. It fails to detect unsafe deserialization when numpy.f2py.crackfortran calls eval on arbitrary strings, allowing an attacker to embed malicious code in pickle files that executes upon loading from untrust...

CVE-2025-71364

CVE-2025-71364 affects picklescan prior to 0.0.30, which fails to detect the builtin function asyncio.unix_events._UnixSubprocessTransport._start inside pickle reduce methods. This allows an attacker to craft malicious pickle payloads that evade detection and execute arbitrary commands upon loadi...

CVE-2025-71360

The CVE-2025-71360 entry concerns picklescan prior to 0.0.29, where the tool fails to detect malicious pickle payloads that rely on idlelib.calltip.get_entity within reduce methods. Impact: attackers could embed code in pickle files that executes remote commands when loaded by victims. The vulner...

CVE-2025-71356

CVE-2025-71356 affects picklescan prior to 0.0.28, which fails to detect malicious torch.fx.experimental.symbolic_shapes.ShapeEnv.evaluate_guards_expression calls embedded in pickle files. This enables arbitrary code execution when such pickle files are loaded by victims, as attackers can embed p...

CVE-2025-71359

The CVE concerns the Python package picklescan prior to version 0.0.29, where the vulnerability lies in deserializing pickle payloads that leverage lib2to3.pgen2.grammar.Grammar.loads within the reduce method. This can enable remote code execution during pickle.load() , by crafting pickle files t...

CVE-2025-71353

CVE-2025-71353 affects picklescan prior to 0.0.28. The root cause is that the tool fails to detect malicious pickle payloads that exploit torch._dynamo.guards.GuardBuilder.get within reduce methods. Attackers can craft pickle files with embedded code that evade detection and trigger arbitrary com...

CVE-2025-71347

The vulnerability concerns picklescan prior to 0.0.33, which fails to detect malicious pickle files that rely on numpy.f2py.crackfortran.param_eval in reduce methods. This allows remote attackers to embed code that executes during deserialization in applications that load untrusted pickle data, e...

CVE-2025-71345

The CVE describes a vulnerability in the Python package picklescan where versions prior to 0.0.30 fail to detect malicious pickle files that invoke the function torch.utils.bottleneck.main .run_autograd_prof . This can allow attackers to embed code in pickle data that executes during deserializat...

CVE-2025-71343

CVE-2025-71343 affects picklescan prior to 0.0.30. The issue arises from a weakness in detecting malicious pickle payloads that exploit lib2to3.pgen2.pgen.ParserGenerator.make_label in the reduce method, enabling attackers to craft pickle files that evade detection and execute arbitrary commands ...

CVE-2025-71342

CVE-2025-71342 affects picklescan prior to 0.0.30, which fails to detect malicious pickle files that use idlelib.run.Executive.runcode in reduce methods. This can allow code embedded in pickle files to execute during pickle.load, enabling remote code execution in PyTorch models and related supply...

CVE-2026-12252

CVE-2026-12252 affects nltk/nltk versions 3.9.3 and earlier, leaving five Stanford interface classes (StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, StanfordNeuralDependencyParser) vulnerable to untrusted JAR code execution. These classes accept user-controlled JA...

CVE-2026-54424

CVE-2026-54424 affects Unity Parsec on Windows. The vulnerability is described as an Incorrect Use of Privileged APIs that can lead to Elevation of Privilege. Affected through Parsec for Windows v2026-05-04.0, with a patch in Windows version 150-104a. The issue allows an instance of parsecd.exe t...

CVE-2026-14617

CVE-2026-14617 affects NousResearch hermes-agent (up to 2026.4.30). The issue resides in GatewayStreamConsumer._filter_and_accumulate (gateway/stream_consumer.py) within the Streaming Reasoning Tag Filter, where improper handling of case sensitivity is reported as the underlying root cause. The v...

CVE-2026-58523

CVE-2026-58523 affects Microsoft Edge for Android. The issue is improper access control that allows an unauthenticated remote attacker to bypass a security feature over a network. The published data indicates a CVSS v3.1 base score of 6.5 (MEDIUM) with Network attack vector, low attack complexity...