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Intelligence View
⚡ tsecurity.de Intelligence

The dependency vulnerability gap that CI/CD can’t fix

Every project I’ve worked on has the same setup: osv-scanner or Dependabot wired into CI, which fails the build if a known CVE is found. It feels complete. It isn't. Here’s the gap: CI runs at push time. CVEs are published con…

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Every project I’ve worked on has the same setup: osv-scanner or Dependabot wired into CI, which fails the build if a known CVE is found. It feels complete. It isn't.



Here’s the gap: CI runs at push time. CVEs are published continuously.



If a vulnerability is disclosed in express, serde, or requests the day after your last commit, your CI pipeline won't catch it until your next push. For a team that deploys once a week, that's up to seven days of running known-vulnerable software in production with no alert, no PR, no indication that anything is wrong.



Why Dependabot doesn’t fully solve this

Dependabot is genuinely useful, and I’m not dismissing it. But it has real constraints:



It only works on GitHub-hosted repositories



It supports around 10 ecosystems



It watches only the default branch (main/master)



It opens PRs, which is great for planned maintenance, but not for “you’re vulnerable right now, act fast.”



If you’re on GitLab, self-hosted Gitea, or running a polyglot monorepo with a mix of Rust, Python, and Go, you’re largely on your own.



The AI coding tools problem makes this worse



AI coding assistants: Claude. Copilot and Cursor introduce dependencies faster than most developers can review them. That’s not a criticism; it’s just the nature of the tooling. But these assistants have a training cutoff. They are unaware of CVEs published after that date.



Concretely, an AI agent suggests [email protected]. At the time, it was suggested that no known vulnerabilities existed. Three weeks later, a CRITICAL CVE is published. Your CI pipeline has no reason to re-run. Nobody gets a notification. You find out when a user files a report.



The problem isn’t that the AI made a bad suggestion. The problem is that there’s no continuous monitoring layer watching for changes after the fact.



The right mental model isn’t “scan at push time.” It’s “watch continuously and alert when the threat landscape changes.”



The gap, summarised





What we built



We built Oppsy specifically to fill this gap. You upload a lock file, configure a notification channel, and we recheck your dependencies whenever the OSV database is updated. New CVE at 3 am? You’ll know by morning.



It’s launching in summer 2026. The waitlist is open now — it’s free to join.



If this resonates, I’d be curious whether the notification channel matters to you. Is Slack the obvious choice, or does your team live somewhere else?

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - The dependency vulnerability gap that CI/CD can’t fix
id: ccb54111-0b27-4f2b-aa00-f55080a7da95
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-25
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-25"
        description = "YARA Signature for "
    strings:
        $str = "The dependency vulnerability g" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("The dependency vulnerability gap that CI")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*The dependency vulnerability gap that CI*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "The dependency vulnerability gap that CI"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

CTI Threat Relationship Graph2 Knoten / 1 Relationen
CVE / Incident Software MITRE ATT&CK CWE Weakness IoC
INFRASTRUCTURE BLAST RADIUS & EXPOSURE
Live-Vektor: LOCAL
HIGH CASCADING
Perimeter & Ingress
Geringes Risiko
Lateral Pivot & AD
Geringes Risiko
Crown Jewels & DB
GEFÄHRDET (85%)
Supply Chain Reach
GEFÄHRDET (90%)
🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich The dependency vulnerability gap that CI.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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