_contextvars.pyd file report

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• File Details
• Overview
• Analysis

Analyst brief

What this report says

ThreatInfo has not assigned a final verdict to _contextvars.pyd. The metadata below can still help compare the file identity, origin, and observed behavior against a copy found on a device.

This page combines the detection verdict with file identity, publisher metadata, alternate names, observed paths, geography, OS signals, and PE details so the report reads as a triage record rather than a standalone download page.

Why it matters

Evidence available for this file

Detection

No final classification is available yet.

Timeline

First seen 2018-06-05 15:05:21 (7 years ago); latest analysis 2024-12-15 23:02:50 (a year ago).

Publisher context

Company metadata: Python Software Foundation. Product metadata: Python.

Digital signature

Signed by Python Software Foundation. The signature is reported as valid, but signed files can still be bundled or abused.

Observed locations

ThreatInfo has seen this file in user or system paths listed below. Unexpected locations increase the need for local verification.

Recommended action

What to do next

1. Use the hash and metadata below to verify the exact file identity.
2. Review publisher, signature, paths, and PE details for inconsistencies.
3. Run a local scan if the file appears unexpectedly or starts with Windows.

_contextvars.pyd is a Windows file recorded in the ThreatInfo database. It is associated with Python. The reported company name is Python Software Foundation. The current detection status is Undefined, based on the latest analysis from 2024-12-15 23:02:50 (a year ago).

ThreatInfo does not have a final classification for this file yet. Use the technical details below to compare the hash, size, signature, and observed locations with the copy found on your device.

File Details

Overview

The signature on _contextvars.pyd is reported as valid. A valid signature helps confirm publisher identity, but it does not automatically make the file safe if the installer was bundled, abused, or downloaded from an untrusted source.

ThreatInfo has observed _contextvars.pyd in the locations listed above. Files found in temporary folders, user profile folders, startup locations, or unusual application directories should be reviewed more carefully than files installed under a known program directory.

Geographic signal

Observed country distribution

ThreatInfo has seen _contextvars.pyd across 43 countries. Use this signal to compare local evidence with where the sample is most often reported.

Top country Russian Federation

Share 45.3%

Low High activity

The strongest geographic signal for this file is Russian Federation with 45.3% of observed hits. Geographic distribution can help identify targeted campaigns, regional software bundles, or where a file is most commonly reported.

The most common operating system signal for _contextvars.pyd is Windows 10 with 64.3% of observed hits. If your system differs from the common profile, check whether the file was introduced by a specific installer, archive, or removable device.

Analysis

_contextvars.pyd is identified as pe for 32-bit systems. The subsystem is Windows GUI. PE header values are useful for triage, especially when they do not match the expected publisher, product, or release timeline.

PE section names and hashes can reveal packing, injected resources, or unusual build artifacts. Sections with uncommon names, very large raw data, or hashes that differ from a trusted copy deserve additional review.

Report conclusion

This file is still under review

ThreatInfo has not assigned a final verdict yet. Compare the file hash, location, signature, and publisher before trusting the file on a production system.

Scan with GridinSoft Anti-Malware Use a local scan if the file origin or behavior is unclear. Check this hash on VirusTotal

Recommended next steps

• Compare the local file MD5 with c3aa567a4e88b8bbff326e7b4539dcf4.
• Check the file path, publisher, and signature against the details in this report.
• Run a GridinSoft scan if the source, path, or behavior looks unusual.