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🛡️ MAL-2026-12853 — bigops-utils

⚪ Unknown ✅ No Known Exploit OSV
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Malicious code in bigops-utils (npm)

Source: amazon-inspector

Loading the package's main entry point auto-invokes _helpers.js init(), which downloads an OS-specific binary from obfuscated Cloudflare Workers subdomains (hostnames assembled at runtime from split-string arrays such as _MIRRORS=['oob-worker.cf102-baf.w','orke','rs.','de','v'].join('')) with a DNS-TXT chunked fallback that reassembles base64 chunks from TXT records under *.dl.wel1.ru. The fetched bytes are written to /tmp or %TEMP% under deceptive names ('.cache_<rand>', 'dotnet_diag_<rand>.exe'), chmod'd 0755, and detached-spawned via spawn('/bin/sh', ['-c', fp+' &'], {detached:true}) or cmd.exe /c start /b. No hash or signature verification is performed and the destinations are not tied to any advertised publisher. Sibling lib/telemetry.js uses dynamic API construction (require('child_'+'process'), fs['chmod'+'Sync']) to further evade static analysis. The behavior is framed as 'analytics/telemetry' but is an import-time remote-code dropper.

Affected software

MAL-2026-12853 is recorded against 1 package.

  • bigops-utils

Timeline and source

Published on 5 August 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

References

www.npmjs.com (Package)

Details

Severity Unknown
CVSS Score N/A
CVSS Vector N/A
CWE N/A
Public Exploit ✅ No
Source OSV
Published 2026-08-05
Updated 2026-08-20
Modified 2026-08-05
Fix URL N/A

Affected Packages

Software From version Fixed in
bigops-utils — —

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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