Live tracker of exploited and high-impact vulnerabilities
New vulnerabilities from CERTs, vendors, researchers and newsrooms in 180+ countries, checked automatically, with how widely each one is being exploited, warned about and covered.
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Heap Buffer Overflow in CMS Key Unwrapping
Assessment: Track
SSVC decision points: exploitation none, automatable yes, technical impact partial, deployment high.
What is it?
Issue summary: OpenSSL CMS decryption sizes the key-unwrap output buffer based on querying the unwrapped key size, but the AES-WRAP-PAD unwrap primitive can write and cleanse more bytes than that query reports, causing an 8-byte out-of-bounds heap write. Impact summary: An attacker who supplies a crafted CMS message can trigger a deterministic 8-byte out-of-bounds heap write when the victim decrypts it with CMS_decrypt(), corrupting the heap and typically resulting in a Denial of Service. CWE: CWE-787: Out-of-bounds Write Description: The key-wrap OID is potentially attacker-controlled on the wire. CMS unwrapping allows both id-aesNNN-wrap-pad and id-aesNNN-wrap ciphers. An attacker can take a legitimate message and change a single OID byte to select the padded variant while leaving the message otherwise valid. Since the unwrap key is derived from the recipient's private operation (ECDH key agreement or ML-KEM decapsulation), the RFC 5649 integrity check cannot pass, and the decryption fails with integrity failure. The write is a fixed-size (8-byte), fixed-value (zero) heap overflow immediately past the allocation, requires no special configuration, and is reachable from the pu
Evidence
No coverage recorded yet.
Exploitation
- Public proof of concept
- Exploited in the wild
- Listed as known exploited
- CVSS
- 7.5
- EPSS
- 0.9%
- First seen
- 2 d ago
- Status
- corroborated
Sources
CERTs and cyber security agencies, national news outlets in every country we could find, vendor advisories, research blogs and the security press. Every source is polled on its own schedule, by RSS where possible and by headless browser where not. Broken feeds are repaired automatically; anything still failing is listed here.
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Recent sign-in activity
Coverage and speed audit
Checked against ground truth: every recent CISA KEV listing must be tracked and marked exploited; exploitation levels must match their evidence; and how fast each kind of source reaches us after it publishes.
Pipeline, last 24 hours
How many articles each type of source produced, how many were read in full, and how many were linked to a vulnerability. “Unmatched” are articles that look like vulnerability news but couldn’t be linked; the reasons and examples show what to improve.
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Coverage
All sources
How it works
Vulnocalypse reads vulnerability registries, government CERTs, vendor advisories, research blogs and newsrooms around the clock, links everything that refers to the same vulnerability, and only shows what passes automated validation.
What gets into the feed
A vulnerability is admitted when it is corroborated, either through a published CVE record or through at least two independent organisations, and its impact score reaches 60 out of 100. Anything listed in a known-exploited catalogue is admitted regardless of score. Once admitted, an entry stays, so the feed never flickers.
Impact score
Up to 30 points for severity (CVSS, or inferred from the description when no score exists), 25 for exploitation, 15 for blast radius by product category (edge devices and identity systems score highest), 15 for attention from news, CERTs and researchers, 10 for EPSS exploitation probability, and 5 for pre-authentication. Every entry shows its breakdown.
Exploitation status
We only mark something exploited when there is a citable source: a KEV listing (CISA, VulnCheck or ENISA), a statement from the vendor or a government agency, CISA’s SSVC assessment, or at least two independent organisations reporting attacks with no later denial from the vendor. Phrases like “no evidence of exploitation” are detected and count against a claim.
Validation, without humans
Identifiers are checked against the CVE List; rejected or non-existent CVEs are dropped. Titles, vendors, products and CVSS come from the official record rather than from headlines. Wire stories syndicated across outlets are counted once. Roundups that list dozens of CVEs only count the ones they actually discuss. Reports without an identifier wait for corroboration and are merged into the right CVE once one is assigned. Every decision is logged and shown on each vulnerability’s page.
The Panic meter
Three numbers over the past 24 hours, counting only vulnerabilities first seen in the last 14 days: distinct researchers posting about them, distinct news organisations covering them, and distinct CERTs and agencies warning about them. Each is ranked against its own 90-day history, weighted 35% CERTs, 35% news and 30% researchers, and stretched so the top levels stay rare. Each day’s score is split across the vulnerabilities that caused it.
The outbreak map
The map shows three things for every country: how many national news outlets are covering new vulnerabilities, whether the national CERT or cyber security agency has issued a warning, and whether services were taken offline because of a vulnerability (the unplug icon: confirmed when the country’s own CERT or national press reports it, or two independent outlets do). National outlets are read directly, through local-language Google News editions, and through GDELT, which attributes coverage in over 100 languages to its source country. International security press is left off the map so it shows national attention, not trade coverage. Replay the spread to watch a vulnerability travel from patient zero across the world.
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- Everything (RSS), also as Atom and JSON Feed
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Use it from an AI agent
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How a vulnerability is assessed
Each vulnerability gets a decision from SSVC, CISA’s Stakeholder-Specific Vulnerability Categorization: Act, Attend, Track* or Track. It rests on four decision points, each shown with where its value came from:
- Exploitation (none, proof of concept, active): from the evidence on the page: listings in known-exploited catalogues (CISA KEV, VulnCheck KEV, ENISA), statements by the vendor or a government agency, independent reports from at least two organisations, and public exploit code. When CISA’s own SSVC assessment in the CVE record says more, that is used and named.
- Automatable (yes, no): CISA’s SSVC value when it exists; otherwise from the CVSS vector (network attack, low complexity, no privileges, no user interaction).
- Technical impact (partial, total): CISA’s SSVC value when it exists; otherwise from the CVSS vector (full loss of confidentiality and integrity) or a confirmed remote code execution.
- Deployment: SSVC’s mission and well-being point depends on the organisation. As a public baseline we assume a typical organisation running the product, and use how widely the product is deployed (internet-facing devices, identity systems, hypervisors, operating systems, browsers and common libraries count as high). Your own decision can differ: a product you don’t run is always Track for you.
Next to the decision, every page shows the evidence it rests on: exploitation evidence with sources and dates; CVSS from the CNA, CISA and NVD, with disagreements between them flagged; affected and fixed versions; the EPSS probability of exploitation in the next 30 days (the probability itself, not its percentile); and public attention, which is shown but is never part of the decision. Missing data is listed rather than guessed: for example “NVD has not assessed it yet” or “internet exposure not measured”.
The number on each entry is a ranking score for sorting. It never contradicts the decision: every Act ranks above every Attend. Within a decision it orders entries by EPSS probability, CVSS, deployment and whether the exploit is weaponised (a Metasploit module, an exploit proven by Ethiack Zero, or use in ransomware).
Checking ourselves. The assessment made when a vulnerability is first seen is stored, and 30 days later it is compared with what happened: did it get exploited or listed as known exploited? We measure how often each decision was followed by exploitation, and whether the ranking predicts exploitation better than CVSS or EPSS alone. We’ll publish the results here once there are enough assessments to be meaningful.
Limits. Internet exposure (how many vulnerable systems are reachable) is not measured yet. EPSS is unavailable for the first days after a CVE is published. Decision points derived from CVSS inherit the CVSS author’s judgement, which is why the source of each value is shown.