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Introduction: The Vulnerability Queue Has Become a Trap
For years, vulnerability management has been built around a familiar routine. Scan the environment, assign CVSS scores, sort the findings from highest to lowest, patch the critical vulnerabilities, and work down the list.
It looks organized. It produces dashboards. It gives security leaders measurable numbers.
But attackers do not operate from a spreadsheet.
They do not care whether a vulnerability is rated 9.8 or 6.5 when a lower-scored weakness gives them the exact access they need. They look for relationships between vulnerabilities, stolen credentials, exposed services, misconfigurations, weak segmentation, and valuable systems. One weakness becomes an entrance. Another becomes a bridge. A third becomes the path to the organization’s most sensitive assets.
That difference is becoming increasingly important as artificial intelligence accelerates vulnerability discovery.
The central argument behind the original article is simple but uncomfortable: defenders cannot realistically patch everything before attackers exploit something. The better strategy is to identify and break the attack paths that matter most.
This represents a major shift in vulnerability management. Instead of asking, “Which vulnerability has the highest score?” security teams increasingly need to ask, “Which weakness connects an attacker to something we cannot afford to lose?”
Project Glasswing Changes the Scale of the Problem
The article points to
The significance is not simply that AI can find vulnerabilities. Security researchers have used automation, fuzzing, static analysis, symbolic execution, and other techniques for years.
The difference is scale.
If increasingly capable AI systems can continuously inspect enormous quantities of software and identify vulnerabilities faster than human teams can reproduce, validate, disclose, prioritize, and remediate them, the traditional patching model begins to experience a fundamental timing problem.
The defender is working through a queue.
The attacker may be searching continuously.
That creates what the article describes as a patch physics problem. The challenge is no longer merely improving patch-management discipline. There may simply be more actionable vulnerabilities arriving than organizations can realistically eliminate within the available window.
The Vulnerability Flood Keeps Growing
The numbers in the article illustrate why the problem is becoming difficult to manage.
According to the article, 46,407 CVEs were published in 2025, compared with 40,009 in 2024.
That represents a substantial year-over-year increase.
At the same time, vulnerability enrichment and analysis efforts are also expanding. But even improvements in national vulnerability databases and security tooling cannot completely eliminate the fundamental imbalance.
More software creates more potential attack surfaces.
More dependencies create more relationships.
More cloud services create more interconnected systems.
More automation creates more opportunities for attackers and defenders alike.
And increasingly capable AI introduces another multiplier.
Attackers Are Moving Faster Than Patch Teams
The most disturbing part of the equation is not necessarily vulnerability volume.
It is the shrinking exploitation window.
The original article describes a dramatic progression in the median time between vulnerability disclosure and observed exploitation:
2018: 771 days.
2021: 84 days.
2023: 6 days.
2024: approximately 4 hours in the cited analysis.
The exact measurement can vary depending on methodology, vulnerability population, and definition of exploitation. But the larger trend is difficult to ignore.
The window available to defenders is shrinking.
In some cases, attackers are exploiting weaknesses before organizations have received an official patch.
That changes the meaning of patch quickly.
A company can have an excellent patching program and still be vulnerable during the period between discovery, disclosure, vendor response, patch availability, testing, deployment, and verification.
Negative-Day Exploitation Is the
The concept of negative-time-to-exploit is particularly unsettling.
If attackers are already exploiting a vulnerability before the public disclosure or patch becomes available, the defender cannot simply respond by accelerating the standard patch process.
There is no patch to deploy yet.
This is where compensating controls become essential.
Network segmentation, authentication hardening, access restrictions, application isolation, virtual patching, endpoint controls, monitoring, and attack-path disruption can become temporary defensive barriers.
The goal changes from:
Patch the vulnerability.
to:
“Prevent the vulnerability from becoming a usable route to the crown jewels.”
That distinction is crucial.
CVSS Was Never Meant to Be the Entire Strategy
CVSS remains useful.
It provides a common language for describing vulnerability characteristics and potential severity.
The problem begins when organizations treat a CVSS score as if it were a complete measurement of organizational risk.
A CVSS score describes characteristics of a vulnerability under defined assumptions.
It does not automatically understand your network.
It does not know whether the vulnerable system is Internet-facing.
It does not necessarily understand your identity architecture.
It does not know whether the system contains sensitive information.
It does not know whether an attacker can pivot from that machine into a domain controller.
And it certainly does not know whether the vulnerability sits at the intersection of 50 different attack paths.
That context belongs to the organization.
Medium Severity Does Not Mean Low Priority
One of the strongest arguments in the article is that attackers frequently exploit vulnerabilities that do not have the highest CVSS scores.
The article cites data suggesting that 28% of exploited vulnerabilities in 2025 had medium CVSS base scores.
That creates an uncomfortable question.
If an organization automatically prioritizes only the highest-scoring vulnerabilities, how many exploitable pathways are being ignored simply because their individual scores look less frightening?
A medium-severity weakness on an isolated machine may genuinely be low risk.
But the same medium-severity weakness on an Internet-facing identity gateway could be enormously important if it provides a route toward privileged credentials.
Severity without context can become misleading.
Operation Lunar Peek Demonstrates the Chain Problem
The article uses Operation Lunar Peek and vulnerabilities affecting Palo Alto Networks firewalls to illustrate the issue.
The cited example contrasts a medium-rated vulnerability, CVE-2024-9474, with the higher-rated CVE-2024-0012.
Individually, the vulnerabilities appear as separate entries in a vulnerability-management platform.
An attacker does not necessarily see them that way.
If one vulnerability enables the conditions required to exploit another, the two findings become part of a single operational chain.
That is the central weakness of checklist-based vulnerability management.
The dashboard sees two vulnerabilities.
The attacker sees one route.
Thinking in Chains, Not Checklists
The Question Security Teams Should Be Asking
The traditional question is:
Which vulnerability is most severe?
The more useful question is:
“Which vulnerability creates or enables the most dangerous path to our critical assets?”
That seemingly small change can completely transform a patching strategy.
Imagine a company has:
An Internet-facing application with a critical RCE.
A moderately severe credential exposure.
A misconfigured internal service.
A poorly segmented administrative network.
A domain controller containing privileged identities.
The critical RCE may receive immediate attention.
But if the affected application is isolated and has no meaningful route toward sensitive systems, its practical risk may be lower than the medium-severity credential exposure that appears across several attack paths.
The score does not tell the whole story.
The graph does.
Attack Paths Turn Vulnerabilities Into Relationships
Graph-based security modeling provides a more realistic representation of how attacks actually unfold.
In a simplified model, assets become nodes.
Vulnerabilities become possible transitions.
Credentials become edges or enabling conditions.
Trust relationships become connections.
Network access becomes reachability.
Privilege escalation becomes another transition.
The final target becomes the destination.
An attacker may begin at an Internet-facing application, compromise it, steal credentials, move into an internal system, escalate privileges, access an administrative service, and eventually reach a database or identity infrastructure.
None of these individual steps necessarily represents the entire attack.
Together, they form the attack path.
The Crown Jewel Should Influence the Priority
Not every asset has equal importance.
A forgotten development server and a production identity system should not necessarily receive the same risk treatment.
Organizations need to identify their crown jewels.
These may include:
Domain controllers
Identity providers
Production databases
Payment systems
Source-code repositories
Cloud control planes
Backup infrastructure
Certificate authorities
Secrets-management platforms
Customer-data environments
Once these assets are identified, security teams can work backward.
Which systems can reach them?
Which credentials can access them?
Which vulnerabilities create those transitions?
Which security controls prevent those transitions?
And most importantly:
Where can one remediation action break multiple attack routes?
The Choke Point Becomes the New Priority
This is where the concept of choke-point patching becomes powerful.
Imagine an organization has 100 possible attack paths toward a critical database.
If one vulnerability exists on 70 of those paths, fixing it could eliminate or disrupt a huge percentage of the available routes.
That vulnerability might only have a medium CVSS score.
Meanwhile, another vulnerability might have a critical score of 9.8 but exist on only one isolated server.
Traditional prioritization may place the 9.8 vulnerability first.
Attack-path prioritization may reach the opposite conclusion.
The objective is not to ignore critical vulnerabilities.
The objective is to understand which remediation produces the greatest reduction in real-world attack opportunity.
Minimum Vertex Cut Offers a Useful Mental Model
The article introduces the concept of the minimum vertex cut.
In graph theory, a vertex cut is a set of nodes whose removal disconnects important parts of a graph.
Applied to cybersecurity, the idea becomes extremely practical.
If an attack graph contains multiple routes toward a critical asset, security teams can search for vulnerabilities, credentials, services, or other control points whose remediation would disconnect the greatest number of those routes.
The result is a very different patching philosophy.
Instead of asking:
Which vulnerability has the highest number?
The team asks:
Which remediation breaks the most dangerous paths?
That is a much closer approximation of how attackers actually operate.
Deep Analysis
Build a Vulnerability Inventory First
Attack-path analysis cannot compensate for incomplete visibility.
Start by identifying systems, applications, identities, services, dependencies, and vulnerabilities.
A basic Linux inventory might begin with:
uname -a cat /etc/os-release ss -tulpn
These commands provide basic operating-system and listening-service information.
They are not an attack-path platform, but they help establish the raw infrastructure context needed for deeper analysis.
Identify Internet-Facing Services
Externally reachable services deserve special attention because they can represent initial-access points.
For authorized defensive assessment, administrators can inspect local listening sockets with:
ss -tulpn
Then compare the discovered services against the
The important question is not simply whether a service contains a vulnerability.
It is whether that service can become the first node in an attack chain.
Examine Identity Relationships
Identity often determines whether an attacker can move from one system to another.
On Linux environments, defenders can inspect local accounts and groups with commands such as:
getent passwd getent group
For authorized administrative review, privilege relationships should be mapped alongside system vulnerabilities.
A vulnerability with no meaningful privilege path may be less urgent than a weakness that can be combined with an exposed privileged credential.
Map Network Reachability
A vulnerability becomes significantly more dangerous when the vulnerable host can directly communicate with critical infrastructure.
Defenders can inspect routing information with:
ip route
They can also review local firewall configuration where appropriate:
sudo nft list ruleset
The objective is not simply to produce configuration output.
It is to understand which systems can talk to which systems.
That information becomes an edge in the attack graph.
Find the Choke Points
Once vulnerabilities, assets, identities, and connectivity are mapped, the analysis should focus on intersections.
Ask:
Internet → Application → Credential → Internal Server → Domain Controller
Then ask:
Which single control can break the greatest number of paths?
Sometimes it is a patch.
Sometimes it is network segmentation.
Sometimes it is MFA.
Sometimes it is credential rotation.
Sometimes it is disabling an unnecessary service.
Sometimes it is removing excessive administrative privileges.
The best remediation is not always the vulnerability patch itself.
Validate Exposure After Remediation
A patch is not the end of the process.
After remediation, security teams should verify that the attack path has actually disappeared.
A useful defensive workflow is:
Discover
↓
Map
↓
Prioritize
↓
Remediate
↓
Validate
↓
Recalculate attack paths
If the path still exists through another weakness, the risk has not truly disappeared.
The Real Metric Should Be Risk Reduction
Traditional dashboards often emphasize:
Number of critical vulnerabilities
Average remediation time
Patch compliance
CVSS distribution
Open findings
Those metrics remain useful.
But they should be supplemented with measures such as:
Number of attack paths to crown jewels
Number of exposed paths eliminated
Critical assets reachable from the Internet
Privileged identities exposed through attack chains
Number of paths disrupted by each remediation
Time required to break high-impact attack paths
That changes the conversation from activity to risk reduction.
What Undercode Say:
AI Is Changing the Economics of Vulnerability Discovery
The biggest strategic issue is not that AI discovered another vulnerability.
The bigger issue is that AI may change the economics of finding vulnerabilities.
Human researchers have limited time.
Automated systems can operate continuously.
That creates a structural advantage for attackers if defensive organizations continue relying on manual queues.
The Patch Queue Will Never Be Empty
Security leaders should stop treating an empty vulnerability backlog as a realistic end state.
Modern environments are constantly changing.
New software is deployed.
New dependencies are introduced.
New vulnerabilities are disclosed.
New assets appear.
New credentials are created.
The queue is effectively continuous.
Risk Reduction Matters More Than Queue Reduction
A team can close thousands of vulnerability tickets while leaving one dangerous attack path intact.
That is a poor security outcome.
The goal should therefore be reducing the
Context Is Becoming More Valuable Than Severity
CVSS answers an important question.
Attack-path analysis answers another.
The future of vulnerability management will likely combine both rather than eliminate either.
CVSS can help describe severity.
Environmental context can determine relevance.
Attack graphs can reveal relationships.
Business criticality can determine consequences.
Together, these provide a much stronger decision framework.
Attackers Already Think in Chains
Threat actors routinely combine vulnerabilities with credentials, misconfigurations, weak authentication, exposed management interfaces, and poor segmentation.
Defenders should model the environment using the same conceptual structure.
The objective is not to imitate attackers.
It is to understand how apparently minor weaknesses can become dangerous when combined.
Choke Points Create Defensive Leverage
One of the most attractive features of this strategy is leverage.
A single well-selected remediation can potentially disrupt many attack routes.
That is particularly valuable for organizations with limited security staffing.
You do not always need to patch everything immediately to reduce meaningful risk.
You need to identify what matters most.
Segmentation Becomes a Patch Multiplier
Good network segmentation can make entire classes of vulnerabilities less useful to attackers.
A vulnerable system that cannot reach sensitive infrastructure is fundamentally different from an equally vulnerable system sitting next to the organization’s identity platform.
Segmentation therefore becomes a form of risk reduction that works across multiple vulnerabilities simultaneously.
Identity Is Often the Hidden Bridge
Attack graphs should not focus exclusively on network connections.
Identity relationships can be even more important.
A compromised workstation becomes dramatically more dangerous when it provides access to privileged credentials.
Credential reuse, excessive permissions, stale accounts, service accounts, and weak authentication can transform isolated vulnerabilities into a connected attack chain.
The Domain Controller Is Not Just Another Server
Identity infrastructure deserves special treatment because compromising it can dramatically expand an attacker’s reach.
A vulnerability that enables movement toward domain administration can therefore deserve extraordinary attention even when its CVSS score is not among the highest findings in the environment.
The destination changes the risk.
Backups Need Their Own Attack Graph
Organizations often think about backups as recovery systems.
Attackers increasingly view them as strategic targets.
If an attack path reaches backup administration, ransomware resilience can collapse even when production systems remain segmented.
Backup infrastructure should therefore appear explicitly in attack-path models.
Cloud Environments Make the Problem Harder
Cloud environments introduce additional relationships.
An Internet-facing workload may connect to an identity role.
That identity may access storage.
The storage may contain secrets.
Those secrets may provide access to another service.
The resulting attack path can cross traditional network boundaries.
A CVSS-only model struggles to represent that complexity.
AI Agents Add Another Layer
As organizations deploy AI agents with access to files, APIs, credentials, applications, and internal systems, attack graphs will need to incorporate AI-specific trust relationships.
A vulnerable application is one problem.
A vulnerable application connected to an AI agent that has permission to access sensitive systems is a different problem.
The attack path becomes the important unit of analysis.
Automation Should Prioritize the Right Things
Automation is essential, but automating the wrong priority system only makes the wrong decisions faster.
If an organization automatically sorts thousands of findings by CVSS and opens tickets, it has automated a queue.
It has not necessarily automated risk management.
The automation should instead identify dangerous paths and recommend high-leverage interventions.
Remediation Can Be Temporary or Permanent
Not every vulnerability can be patched immediately.
Compensating controls can sometimes break the chain while a permanent fix is prepared.
Examples include:
Restricting network access
Disabling unnecessary services
Rotating credentials
Tightening permissions
Enforcing stronger authentication
Adding application-layer protections
Increasing monitoring
Isolating vulnerable systems
The key question is whether the control actually disrupts the attack path.
Security Teams Need a “Why” Behind Every Priority
A useful vulnerability ticket should eventually answer more than:
CVE-XXXX has a CVSS score of 9.8.
It should answer:
“This vulnerability is prioritized because exploitation could provide access to system X, which can reach system Y, which contains asset Z.”
That explanation is far more valuable to technical and executive decision-makers.
Vulnerability Management Is Becoming Graph Management
The future security platform may look less like an enormous vulnerability spreadsheet and more like a continuously changing map.
Assets will move.
Credentials will change.
Applications will be deployed.
Cloud permissions will evolve.
Vulnerabilities will appear.
Attack paths will emerge and disappear.
The security team will need to monitor the graph continuously.
Security Leaders Need Better Questions
Instead of asking:
How many critical vulnerabilities remain?
Ask:
How many critical assets remain reachable through known attack paths?
Instead of:
What percentage of patches are complete?
Ask:
How many high-impact attack routes did our remediation eliminate?
Instead of:
Why is this vulnerability only medium severity?
Ask:
Where does this vulnerability lead?
The Patch Gap Cannot Be Eliminated
The uncomfortable conclusion is that the patch gap is probably not going away.
AI-assisted discovery may increase vulnerability volume.
Attackers will continue improving automation.
Software supply chains will become more complex.
Cloud infrastructure will continue expanding.
Organizations will continue operating legacy systems.
Therefore, defensive strategy must adapt to a world where vulnerabilities are continuously present.
Breaking the Chain Buys Time
This may be the most practical advantage of choke-point patching.
Security teams cannot fix everything instantly.
But they can often disrupt the most dangerous routes.
Breaking one connection can prevent an attacker from reaching a critical asset while the rest of the backlog is addressed.
That creates something defenders desperately need:
time.
The Best Patch May Not Be the Most Severe Patch
A critical RCE deserves attention.
But the best remediation decision is ultimately the one that produces the greatest reduction in meaningful risk.
Sometimes that is the critical RCE.
Sometimes it is a medium-severity credential exposure.
Sometimes it is a firewall rule.
Sometimes it is an administrative permission.
Sometimes it is segmentation.
The answer depends on the environment.
Security Has to Become More Strategic
The days of treating vulnerability management as a purely operational patching exercise are fading.
The modern defender must understand infrastructure, identities, dependencies, business criticality, network reachability, cloud permissions, and attacker behavior.
That is a much harder job.
But it is also a much more realistic one.
The Checklist Still Has a Place
This does not mean vulnerability checklists should disappear.
They remain valuable for compliance, auditing, asset management, and operational tracking.
The mistake is treating the checklist as the final representation of risk.
It is a source of information.
The attack graph provides context.
The New Goal: Make the
Ultimately, the strongest security posture is not one where every vulnerability disappears.
It is one where the most dangerous vulnerabilities cannot be chained into a route toward critical assets.
That is a profound shift in defensive thinking.
The defender does not need to win every vulnerability race.
The defender needs to make the
✅ The Core CVSS Argument Is Sound
CVSS is useful for describing vulnerability severity, but it should not be treated as the sole mechanism for organizational prioritization. Environmental context, exploit activity, asset importance, exposure, and attack paths can materially change practical risk.
✅ Attack-Path Analysis Is a Stronger Contextual Model
Representing vulnerabilities, assets, credentials, trust relationships, and connectivity as an attack graph can reveal relationships that individual vulnerability scores cannot capture. This makes choke-point remediation a credible complementary strategy.
⚠️ Some Statistics Require Context
Claims about exploitation timelines, CVE volumes, and AI-discovered vulnerabilities depend on the underlying datasets and methodology. Figures such as “negative-one-day” exploitation describe specific measurement approaches and should not be interpreted as meaning every vulnerability is exploited before disclosure.
❌ CVSS Should Not Be Declared Completely Useless
The argument should not be interpreted as “stop using CVSS.” The stronger conclusion is that CVSS alone is insufficient. Combining severity with exploitability, exposure, business impact, asset criticality, and attack-path context produces a more defensible prioritization system.
Prediction
(+1) Attack-Path Prioritization Will Become Standard
As vulnerability volumes continue increasing, more organizations will supplement CVSS-based queues with attack-path analysis, asset criticality, exploit intelligence, and environmental context.
(+1) Choke-Point Remediation Will Gain Popularity
Security teams under resource pressure will increasingly search for fixes capable of disrupting multiple attack routes simultaneously rather than treating every vulnerability as an independent ticket.
(+1) AI Will Accelerate Defensive Graph Analysis
As AI becomes better at identifying relationships between vulnerabilities, identities, assets, and permissions, security platforms will increasingly automate the discovery of dangerous attack chains.
(-1) Static Vulnerability Dashboards Will Become Less Useful
Organizations that rely almost exclusively on severity-ranked vulnerability lists may find themselves overwhelmed as vulnerability discovery accelerates and attackers exploit increasingly complex chains.
(-1) The Patch Gap Will Continue Growing
Even highly mature organizations may struggle to maintain a zero-gap posture when new vulnerabilities can emerge faster than they can be tested, approved, deployed, and verified.
(+1) The Winning Strategy Will Be Risk Reduction, Not Perfect Patching
The strongest security teams will increasingly measure success by how effectively they prevent attackers from reaching critical assets, not simply by how quickly they reduce the number of open CVEs.
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