Description

HCL AION is affected by a vulnerability where certain endpoints lack sufficient anti-automation controls. Automated or scripted requests may be submitted without adequate rate limiting or challenge mechanisms, potentially resulting in unintended behavior or security impact under certain conditions.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "5.6",
  "pubDate": "2026-08-13T14:16:48.047Z",
  "pubdate": "2026-08-13T14:16:48.047Z",
  "executiveSummary": "HCL AION contains a security vulnerability characterized by the absence of sufficient anti-automation controls on specific application endpoints. This architectural limitation allows malicious actors to issue automated, scripted, or high-frequency programmatic requests without encountering adequate rate-limiting enforcement, account lockout thresholds, or cryptographic challenge-response mechanisms such as CAPTCHAs.\nThe primary impact of this vulnerability includes potential resource exhaustion, service degradation, brute-force attacks, credential stuffing, and automated data scraping, depending on the targeted functionality. The affected system is HCL AION.\nThe risk implication centers on the degradation of application integrity and availability, as unmitigated automated traffic can overwhelm backend infrastructure or facilitate unauthorized programmatic interactions.\nAttacker capabilities required to exploit this vulnerability include the ability to craft and execute custom scripts, bots, or automated toolchains capable of generating high volumes of HTTP/HTTPS requests against the target endpoints.\nNo specific authentication requirements or complex exploitation prerequisites are inherently mandated beyond network accessibility to the vulnerable endpoints, allowing unauthenticated or low-privileged actors to launch automated request floods.",
  "technicalDetails": "The root cause of this vulnerability lies in the lack of robust request throttling, token bucket algorithms, or behavioral analysis mechanisms protecting sensitive or transactional endpoints within HCL AION. When clients interact with the application, the underlying HTTP request handlers process incoming payloads sequentially without validating whether the request originates from a human user or an automated script.\nThe vulnerable components comprise specific programmatic endpoints within HCL AION that process high-frequency HTTP requests without enforcing rate-limiting headers, IP-based request restrictions, or session-based rate controls. Network exposure is typically external, accessible via standard web protocols over HTTP/S, allowing remote attackers to interact directly with the affected interfaces.\nThe exploitation method involves an attacker deploying automated scripting frameworks, custom bots, or HTTP client libraries to bombard the target endpoints with rapid, repetitive requests. Because the server lacks anti-automation controls, it processes each incoming payload iteratively without dropping connections, challenging the client, or delaying responses.\nThe step-by-step attack flow proceeds as follows: First, the attacker identifies target endpoints within HCL AION that lack rate limiting or challenge mechanisms through automated endpoint discovery or manual inspection. Second, the attacker configures an automation tool to dispatch a high volume of concurrent requests targeting the identified endpoints. Third, the HCL AION application accepts and processes the scripted payload stream without imposing throttling delays or triggering defensive blocks. Fourth, depending on the exact functionality of the endpoint, the continuous influx of automated requests results in resource contention, excessive database querying, or successful programmatic abuse.\nAuthentication requirements and privilege requirements vary based on the specific targeted endpoint, but exploitation can often be executed by unauthenticated actors if the vulnerable endpoints are publicly exposed. Payload behavior consists of high-frequency, programmatic HTTP requests designed to bypass human-interaction checks. Post-exploitation impact may include denial of service via resource exhaustion, automated data extraction, or successful brute-force enumeration against underlying application logic."
}