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CVE-2026-42946 is a vulnerability in NGINX's ngx_http_scgi_module and ngx_http_uwsgi_module that can lead to excessive memory allocation and buffer over-read during processing of upstream responses. The flaw is triggered when scgi_pass or uwsgi_pass is configured and NGINX processes a malformed or incomplete upstream status line. Available technical details indicate a state mismatch after an incomplete upstream status-line read can cause cross-buffer pointer subtraction, producing an erroneously large key length and resulting in abnormal memory handling. Under exploitable conditions, this can expose memory from the NGINX worker process or cause the worker process to terminate and restart.
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What an attacker gets, and what they’ve been doing with it.
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Patch, then assume compromise.
No valid public exploits. Mallory filtered out 3 candidates as fakes, detection scripts, or README-only repos.
All candidate exploits were filtered out by Mallory's validation.
Products and vendors Mallory has correlated with this vulnerability. Open in Mallory to drill down to specific CPE configurations and version ranges.
Vendor-confirmed product mapping. Mallory continuously reconciles this list against your asset inventory.
20 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
Another memory corruption vulnerability identified during the same NGINX research process, but not the primary focus of the reference.
An NGINX ngx_http_scgi/uwsgi_module memory over-read vulnerability mentioned only in a list of 2026 disclosures.
An NGINX vulnerability affecting ngx_http_scgi_module and ngx_http_uwsgi_module, mentioned only in passing in a historical list.
A high-severity excessive memory allocation vulnerability in NGINX ngx_http_scgi_module and ngx_http_uwsgi_module that can crash worker processes.
Query your assets running an affected version, and investigate the blast radius.
Every observed campaign linking this CVE to a named adversary.
Malware families riding this exploit, with evidence and IOCs.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.