Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:N/VI:N/VA:N/SC:L/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-32828 is a low-severity SSRF (CWE-918) vulnerability in Akuity Kargo. Its CVSS base score is 2.0 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 34th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-13424
Vulnerability Data
Kargo manages and automates the promotion of software artifacts. In versions 1.4.0 through 1.6.3, 1.7.0-rc.1 through 1.7.8, 1.8.0-rc.1 through 1.8.11, and 1.9.0-rc.1 through 1.9.4, the http and http-download promotion steps allow Server-Side Request Forgery (SSRF) against link-local addresses, most critically…
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the cloud instance metadata endpoint (169.254.169.254), enabling exfiltration of sensitive data such as IAM credentials. These steps provide full control over request headers and methods, rendering cloud provider header-based SSRF mitigations ineffective. An authenticated attacker with permissions to create/update Stages or craft Promotion resources can exploit this by submitting a malicious Promotion manifest, with response data retrievable via Promotion status fields, Git repositories, or a second http step. This issue has been fixed in versions 1.6.4, 1.7.9, 1.8.12 and 1.9.5.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.