Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') Affecting sglang package, versions [0.5.10rc0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applications- Snyk IDSNYK-PYTHON-SGLANG-16540094
- published8 May 2026
- disclosed3 May 2026
- creditNick Gould, David Rochester
Introduced: 3 May 2026
CVE-2026-7669 (opens in a new tab)How to fix?
There is no fixed version for sglang.
Overview
sglang is a SGLang is a fast serving framework for large language models and vision language models.
Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection') via the get_tokenizer function in the HuggingFace Transformer Handler component. An attacker can achieve unauthorized access to sensitive information, modify data, or disrupt application functionality by providing specially crafted input that leads to unsafe deserialization.