| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| A flaw has been found in itsourcecode Hospital Management System 1.0. Affected by this issue is some unknown functionality of the file /medicine.php. This manipulation of the argument editid causes sql injection. Remote exploitation of the attack is possible. The exploit has been published and may be used. |
| A vulnerability was detected in Open5GS up to 2.7.7. Affected by this vulnerability is the function amf_nnrf_handle_nf_discover of the file src/amf/nnrf-handler.c of the component AMF. The manipulation results in denial of service. The attack may be launched remotely. The exploit is now public and may be used. The patch is identified as fb5f67703de0213fb9c6e6ef3b48b6c1707e9503. It is best practice to apply a patch to resolve this issue. |
| Dell PowerProtect Data Domain, versions 7.7.1.0 through 8.6, LTS2026 release version 8.6.1.0 through 8.6.1.10, LTS2025 release version 8.3.1.0 through 8.3.1.30, LTS2024 release versions 7.13.1.0 through 7.13.1.70 contain an Improper limitation of a pathname to a restricted directory ('path traversal') vulnerability. A high privileged attacker with local access could potentially exploit this vulnerability, leading to Information exposure. |
| picklescan before 0.0.28 fails to detect malicious pickle files that use torch.utils.data.datapipes.utils.decoder.basichandlers in reduce methods, allowing attackers to bypass safety checks. Remote attackers can embed undetected malicious code in pickle files that executes during deserialization, enabling remote code execution. |
| Picklescan before 0.0.33 fails to detect the numpy.f2py.crackfortran.getlincoef gadget in pickle __reduce__ methods, allowing arbitrary code execution. Attackers can craft malicious pickle files that execute arbitrary Python code when loaded, bypassing Picklescan's safety checks and enabling supply-chain poisoning of shared model files. |
| Inappropriate implementation in XML in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High) |
| Use after free in Core in Google Chrome prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Medium) |
| Use after free in USB in Google Chrome on Mac prior to 150.0.7871.47 allowed a remote attacker who had compromised the renderer process to potentially perform a sandbox escape via a crafted HTML page. (Chromium security severity: Medium) |
| In nltk/nltk versions 3.9.3 and earlier, five Stanford interface classes (StanfordPOSTagger, StanfordNERTagger, StanfordParser, StanfordDependencyParser, and StanfordNeuralDependencyParser) are vulnerable to untrusted JAR code execution. These classes accept user-controllable JAR paths and execute them via the `java()` function, which invokes `subprocess.Popen()` without integrity verification. This vulnerability is identical to CVE-2026-0848, which was fixed for StanfordSegmenter by adding SHA256 verification. However, the fix was not applied to these additional classes, leaving them susceptible to arbitrary code execution when loading untrusted JAR files. |
| Insufficient policy enforcement in Bluetooth in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to perform privilege escalation via a crafted HTML page. (Chromium security severity: Low) |
| picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.run.Executive.runcode in reduce methods. Attackers can embed undetected code in pickle files that executes during pickle.load, enabling remote code execution in PyTorch models and supply chain attacks. |
| picklescan before 0.0.29 fails to detect malicious pickle files using idlelib.calltip.get_entity function in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims. |
| picklescan before 0.0.34 fails to detect _operator.attrgetter function calls in pickle payloads, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using _operator.attrgetter in reduce methods to execute arbitrary code when pickle.load() processes the file. |
| picklescan before 0.0.33 fails to detect operator.methodcaller function calls in pickle files, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle payloads using operator.methodcaller that execute arbitrary code when loaded, compromising systems relying on picklescan for validation. |
| picklescan before 0.0.28 fails to detect malicious pickle files that exploit torch._dynamo.guards.GuardBuilder.get function in reduce methods. Attackers can craft pickle files with embedded code that evades picklescan detection and executes arbitrary commands when loaded. |
| picklescan before 0.0.30 fails to detect malicious pickle files that exploit lib2to3.pgen2.pgen.ParserGenerator.make_label function in the reduce method. Attackers can craft malicious pickle files with embedded code that evades detection but executes arbitrary commands when pickle.load() is called. |
| picklescan before 0.0.28 fails to detect malicious torch.fx.experimental.symbolic_shapes.ShapeEnv.evaluate_guards_expression function calls in pickle files. Attackers can embed undetected code in pickle files that executes remote code when loaded by victims. |
| picklescan before 0.0.33 fails to detect unsafe deserialization when numpy.f2py.crackfortran functions call eval on arbitrary strings. Attackers can embed malicious code in pickle files that executes when loaded from untrusted sources. |
| picklescan before 0.0.30 fails to detect the asyncio.unix_events._UnixSubprocessTransport._start function in pickle reduce methods, allowing remote code execution. Attackers can craft malicious pickle files embedding this built-in function that evade detection but execute arbitrary commands when loaded. |
| picklescan before 0.0.28 fails to detect malicious torch.utils.bottleneck.__main__.run_cprofile function calls in pickle files, allowing attackers to bypass safety checks. Remote attackers can embed undetected code in pickle files to achieve arbitrary code execution when victims load the files. |
