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P2 Crystallizer: A Hybrid Path Analysis Framework to Aid in Uncovering Deserialization Vulnerabilities

Crystallizer:一种辅助发现反序列化漏洞的混合路径分析框架
FSE Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering2023匹配度 3/10 · 论文属于静态分析与动态分析结合的混合程序分析框架,但应用领域是 Java 反序列化漏洞挖掘,属于传统安全方向,与用户关注的 PL/AI 交叉、Agentic 程序分析、LLM 改进静态分析、浮点程序分析或贝叶斯程序分析均无直接关联。引用 10 inbox
Prashast Srivastava, Flavio Toffalini, Kostyantyn Vorobyov, François Gauthier, Antonio Bianchi, Mathias Payer
crossref: 2026-09-12dblp: 2026-09-12

AI 速览

一句话:提出结合静态与动态分析的混合框架,自动发现 Java 反序列化利用链漏洞。

论文关注序列化/反序列化在分布式应用中引入的安全风险:攻击者可构造恶意字节流,滥用反序列化逻辑强制调用攻击者控制的方法。Crystallizer 提出混合路径分析框架,先通过静态分析过近似可能 payload 以约束搜索空间,再用动态分析实例化具体 payload,作为漏洞概念验证,为分析人员提供可操作攻击示例。作者以 Java 反序列化为主,原型在七个流行 Java 库上评估,与现有 gadget chain 发现框架相比,发现 41 条此前未知的可利用链;并据此对三个流行 Java 应用合成 gadget chain,实现 RCE 与 DoS,证明真实影响,所有漏洞均已负责任披露。

问题
反序列化逻辑中的漏洞可被恶意字节流利用,强制调用攻击者控制的方法,现有工具难以自动发现可利用的 gadget chain。
方法
结合静态分析与动态分析:静态过近似候选 payload 以缩小搜索空间,动态实例化具体 payload 作为漏洞 PoC,聚焦 Java 反序列化。
评估
在七个流行 Java 库上与 SOTA gadget chain 发现框架对比,发现 41 条未知利用链,并在三个 Java 应用上合成 chain 实现 RCE 和 DoS。
原文摘要(Abstract)

Applications use serialization and deserialization to exchange data. Serialization allows developers to exchange messages or perform remote method invocation in distributed applications. However, the application logic itself is responsible for security. Adversaries may abuse bugs in the deserialization logic to forcibly invoke attacker-controlled methods by crafting malicious bytestreams (payloads). Crystallizer presents a novel hybrid framework to automatically uncover deserialization vulnerabilities by combining static and dynamic analyses. Our intuition is to first over-approximate possible payloads through static analysis (to constrain the search space). Then, we use dynamic analysis to instantiate concrete payloads as a proof-of-concept of a vulnerability (giving the analyst concrete examples of possible attacks). Our proof-of-concept focuses on Java deserialization as the imminent domain of such attacks. We evaluate our prototype on seven popular Java libraries against state-of-the-art frameworks for uncovering gadget chains. In contrast to existing tools, we uncovered 41 previously unknown exploitable chains. Furthermore, we show the real-world security impact of Crystallizer by using it to synthesize gadget chains to mount RCE and DoS attacks on three popular Java applications. We have responsibly disclosed all newly discovered vulnerabilities.

链接与引用

DOI 原文 · PDF(开放获取) · DBLP

BibTeX
@inproceedings{SrivastavaTV0BP23,
  title = {Crystallizer: A Hybrid Path Analysis Framework to Aid in Uncovering Deserialization Vulnerabilities},
  author = {Prashast Srivastava and Flavio Toffalini and Kostyantyn Vorobyov and François Gauthier and Antonio Bianchi and Mathias Payer},
  booktitle = {FSE},
  year = {2023},
  doi = {10.1145/3611643.3616313}
}