Full Report
AI-related API vulnerabilities surged 1,205% in 2024, with 99% tied to API flaws, according to a new report by Wallarm
Analysis Summary
This article summarizes high-level trends regarding API vulnerabilities driven by AI adoption, sourcing data from the "2025 API ThreatStats Report" by Wallarm. It does not detail specific, singular CVEs, but rather reports on the volume and categories of AI-related CVEs observed in 2024.
# Vulnerability: Record Surge in AI-Driven API Vulnerabilities (Trend Summary)
## CVE Details
- CVE ID: **Details not provided for a specific CVE.** The report tracked **439 AI-related CVEs in 2024.**
- CVSS Score: Not specified for individual CVEs.
- CWE: Injection flaws, misconfigurations, and Memory Corruption/Overflow.
## Affected Systems
- Products: Systems utilizing AI-powered APIs.
- Versions: Not specified; applies generally to AI-powered APIs analyzed in 2024.
- Configurations: Systems where AI-powered APIs are exposed externally (57% found to be externally accessible) and those lacking robust security (89% lacked secure authentication).
## Vulnerability Description
The primary finding is an extraordinary 1,205% year-over-year increase in API vulnerabilities attributed to the proliferation and adoption of AI. Nearly 99% of these AI-related threats are categorized as API flaws. These flaws frequently manifest as injection attacks, insecure configurations, and new memory corruption/overflow issues stemming from AI's reliance on high-performance binary APIs.
## Exploitation
- Status: **Implied high risk due to the massive volume of vulnerabilities detected.** Specific exploitation status for the 439 tracked CVEs is not detailed.
- Complexity: Not specified, but injection and configuration flaws typically have varying complexity.
- Attack Vector: Implied to be primarily **Network** given the focus on accessible APIs.
## Impact
Impact levels are inferred based on the vulnerability types:
- Confidentiality: Potentially **High** due to injection flaws and insecure storage/access.
- Integrity: Potentially **High** due to injection and memory corruption leading to unauthorized modifications.
- Availability: Potentially **Medium/High** depending on the severity of configuration issues or denial-of-service vectors inherent in memory faults.
## Remediation
### Patches
- Specific patches are **not listed** as this is a trend report. Remediation requires vendor-specific fixes for the 439 tracked CVEs.
### Workarounds
- Implement strong authentication mechanisms (as 89% of documented AI APIs lacked secure auth).
- Restrict external access to AI APIs where possible (as 57% were externally accessible).
- Review and sanitize inputs to mitigate injection vectors.
## Detection
- **Indicators of Compromise:** Look for anomalous traffic patterns targeting API endpoints, input validation failures, and evidence of memory access violations linked to AI processing functions.
- **Detection Methods and Tools:** Utilize API security platforms capable of monitoring runtime behavior and detecting novel attacks targeting AI/ML models or the underlying binary APIs they interact with.
## References
- Vendor Advisories: **Wallarm's _2025 API ThreatStats Report_**
- Relevant links - defanged:
- infosecurity-magazine-com/news/ai-surge-record-1205-increase-api/