CVE•Published 2026-02-24•Modified 2026-06-30•1 article on news•6 live references•NVD data
CVE-2026-2769Mozilla · Firefox
Vulnerability data via NVD (ingested)
CVSS v3.1
8.8
HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS percentile
—
Weaknesses (CWE)
Description
Use-after-free in the Storage: IndexedDB component. This vulnerability was fixed in Firefox 148, Firefox ESR 115.33, Firefox ESR 140.8, Thunderbird 148, and Thunderbird 140.8.
Timeline
Published 2026-02-24
Modified 2026-06-30
External references
Search for exposed instances
Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
Shodan · vuln tag0 hosts
vuln:CVE-2026-2769Hosts Shodan has explicitly fingerprinted as vulnerable.
Shodan · product
product:"Mozilla Firefox"All exposed Mozilla Firefox instances — cross-reference with the CVE's affected-version range.
Shodan · banner/body mention
http.html:"Firefox"HTTP body or banner mentions "Firefox" — catches deploys Shodan didn't identify as a product.
More intel sources (5)
Shodan report
vuln:CVE-2026-2769Country / ASN / product breakdown for the vuln query.
Censys
vulnerabilities.cve_id: CVE-2026-2769Censys host search filtered to this CVE id.
grep.app
CVE-2026-2769Public source-code mentions — fast PoC discovery.
GitHub code
CVE-2026-2769GitHub code search for direct mentions.
Google dork
"CVE-2026-2769" exploit -site:nvd.nist.govWrite-ups and news, NVD excluded.
Known PoCs on GitHub (6)
CVE-2026-27696 repos
patrickmgarrity/Anthropic-Credited-CVEsunknown
Tracking Vulnerabilities That Appear to be Credited to the Anthropic Research Team
mooyoul/awesome-starsunknown
A curated list of my GitHub stars
hiifong/starListPython
Export your star's repository list
hugefiver/mystarsunknown
chnzzh/OpenSSL-CVE-libunknown
securin-public/frontier-ai-cve-trackerunknown
Tracking CVEs discovered by AI systems — Anthropic, OpenAI, Google Big Sleep, Microsoft MDASH, DepthFirst