Stack-overflow in boost::read_graphviz_detail::parser::parse_subgraph
A stack overflow vulnerability has been reported in the Boost library within the function boost::read_graphviz_detail::parser::parse_subgraph. The issue was identified by OSS-Fuzz and results in a crash due to stack overflow during parsing operations.
AI Analysis
Technical Summary
This vulnerability involves a stack overflow triggered in the Boost library's Graphviz parser component, specifically in the parse_subgraph function. The crash occurs during recursive parsing calls, as indicated by the stack trace involving parse_subgraph, parse_endpoint_rest, and parse_stmt functions. The issue was discovered through OSS-Fuzz testing and reported in OSV-2024-112. No CVSS score or detailed impact metrics are provided, and no affected versions or patches are explicitly stated.
Potential Impact
The vulnerability causes a stack overflow crash in the Boost Graphviz parser, which could lead to denial of service in applications using this parsing functionality. There is no information about code execution or data corruption impacts. No known exploits are reported in the wild.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory or OSS-Fuzz reports for current remediation guidance. Until a fix is available, users should consider avoiding untrusted input to the affected parsing functions or applying any recommended workarounds from the Boost project or OSS-Fuzz.
Stack-overflow in boost::read_graphviz_detail::parser::parse_subgraph
Description
A stack overflow vulnerability has been reported in the Boost library within the function boost::read_graphviz_detail::parser::parse_subgraph. The issue was identified by OSS-Fuzz and results in a crash due to stack overflow during parsing operations.
Affected software
pkg:generic/boostRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
This vulnerability involves a stack overflow triggered in the Boost library's Graphviz parser component, specifically in the parse_subgraph function. The crash occurs during recursive parsing calls, as indicated by the stack trace involving parse_subgraph, parse_endpoint_rest, and parse_stmt functions. The issue was discovered through OSS-Fuzz testing and reported in OSV-2024-112. No CVSS score or detailed impact metrics are provided, and no affected versions or patches are explicitly stated.
Potential Impact
The vulnerability causes a stack overflow crash in the Boost Graphviz parser, which could lead to denial of service in applications using this parsing functionality. There is no information about code execution or data corruption impacts. No known exploits are reported in the wild.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory or OSS-Fuzz reports for current remediation guidance. Until a fix is available, users should consider avoiding untrusted input to the affected parsing functions or applying any recommended workarounds from the Boost project or OSS-Fuzz.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- OSV-2024-112
- Osv Schema Version
- 1.6.0
- Ecosystems
- ["OSS-Fuzz"]
Threat ID: 6a7c9b3bbf8831d539cdc9d3
Added to database: 08/12/2026, 16:11:39 UTC
Last enriched: 08/12/2026, 16:33:22 UTC
Last updated: 09/25/2026, 09:18:05 UTC
Views: 29
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.