CWE-502: Deserialization of Untrusted Data
moderate-riskThe product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
Abstraction: Base
Common Consequences
Integrity
→
Modify Application Data
Availability
→
DoS: Resource Consumption (CPU)
Other
→
Varies by Context
Detection Methods
Automated Static Analysis
Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
Real-World Examples (10)
| CVE | CVSS | EPSS | KEV |
|---|---|---|---|
| CVE-2017-1000353 | 9.8 | 94.5% | Y |
| CVE-2017-1000353 | 9.8 | 94.5% | Y |
| CVE-2018-1000861 | 9.8 | 94.5% | Y |
| CVE-2018-1000861 | 9.8 | 94.5% | Y |
| CVE-2019-6340 | 8.1 | 94.4% | Y |
| CVE-2019-6340 | 8.1 | 94.4% | Y |
| CVE-2023-40044 | 10.0 | 94.4% | Y |
| CVE-2023-46604 | 10.0 | 94.4% | Y |
| CVE-2023-40044 | 10.0 | 94.4% | Y |
| CVE-2018-2628 | 9.8 | 94.4% | Y |
34
/ 100
moderate-risk
Active Threat
30/50 · High
Exploit Availability
4/50 · Minimal