Attack Surface: HTTP Header Parsing Vulnerabilities
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Description: Flaws in Actix-web's HTTP header parsing logic can lead to attacks due to incorrect handling of header formats, encodings, or sizes.
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Actix-web Contribution: Actix-web is responsible for parsing incoming HTTP requests, including headers. Vulnerabilities in its header parsing code are directly exploitable.
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Example: An attacker sends a request with an excessively long or malformed header that exploits a buffer overflow or other parsing flaw in Actix-web. This could lead to Denial of Service (DoS), HTTP Request Smuggling/Splitting, or potentially Remote Code Execution (RCE) if memory corruption is exploitable.
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Impact: Denial of Service (DoS), HTTP Request Smuggling/Splitting, Header Injection, potentially Remote Code Execution (RCE).
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Risk Severity: High to Critical
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Mitigation Strategies:
- Keep Actix-web Updated: Regularly update Actix-web to the latest version to benefit from security patches in header parsing.
- Use a Reverse Proxy: Employ a reverse proxy (like Nginx or Apache) in front of Actix-web. Reverse proxies often have robust header parsing and can filter out malformed requests.
- Limit Header Sizes (Application Level): Configure Actix-web's server settings to limit the maximum allowed header size.
- Careful Header Handling in Application Code: Avoid directly using unsanitized header values in responses or further requests to prevent header injection.
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Attack Surface: Route Overlap/Confusion
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Description: Incorrectly defined or overly complex route patterns in Actix-web can lead to unintended route matching, allowing access to unauthorized handlers.
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Actix-web Contribution: Actix-web's routing system, based on path matching, can be susceptible to confusion if route definitions are ambiguous or overlapping.
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Example: Consider routes
/admin/users
and/admin/{resource}
. If/admin/{resource}
is defined before/admin/users
, a request to/admin/users
might be incorrectly routed to the more general/admin/{resource}
handler, potentially bypassing specific access controls intended for/admin/users
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Impact: Authorization bypass, access to sensitive functionality.
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Risk Severity: High
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Mitigation Strategies:
- Careful Route Definition: Design routes with clarity, avoiding overlapping patterns. Be explicit in route definitions.
- Route Ordering: Understand Actix-web's route matching order (first-match wins) and place more specific routes before more general ones.
- Route Testing: Thoroughly test route definitions to ensure requests are routed as intended and there are no unexpected overlaps.
- Use Route Guards/Extractors for Authorization: Implement robust authorization checks within route handlers using Actix-web's guards and extractors, independent of route matching logic, to enforce access control.
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Attack Surface: Regular Expression Denial of Service (ReDoS) in Route Matching
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Description: Vulnerable regular expressions used in Actix-web route definitions can be exploited for ReDoS attacks. Crafted input strings can cause excessive CPU consumption by the regex engine.
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Actix-web Contribution: Actix-web allows using regular expressions in route paths for flexible matching, which introduces ReDoS risk if regexes are not carefully designed.
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Example: A route defined with a vulnerable regex like
/api/items/{item_id:.*(a+)+c}
. An attacker sends a request with a long string like/api/items/aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaac
. This input can trigger excessive backtracking in the regex engine, leading to CPU exhaustion and DoS. -
Impact: Denial of Service (DoS).
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Risk Severity: High
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Mitigation Strategies:
- Avoid Complex Regular Expressions in Routes: Prefer simpler route patterns. If regex is necessary, keep them concise and avoid nested quantifiers and alternations.
- Regex Testing and Analysis: Test regular expressions used in routes with various inputs, including potentially malicious ones, to identify ReDoS vulnerabilities. Use regex analyzers or online tools.
- Limit Request Processing Time (Server Level): Configure timeouts in Actix-web's server settings to limit the maximum time spent processing a single request, mitigating the impact of ReDoS.
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