Race Condition
A classic problem in concurrent programming that occurs when multiple asynchronous operations share the same state and the final outcome depends on the relative order in which those operations complete, resulting in unpredictable behavior.
Timeline (last 90 days)
An attacker can, by carefully arranging thread scheduling and system call timing, create a window between the permission check and the use of the resource, so that after the kernel 'passes the check' but before it uses the resource, the resource has already been replaced or freed. Such vulnerabilities are difficult to find through static code review and cannot be reliably reproduced by conventional fuzzing.
Kernel vulnerabilities are often hidden in the subtle handling of system calls, race conditions, and the fuzzy boundaries of privilege.
Race conditions are often non-reproducible in distributed systems: under low-load local testing the replication delay may be only a few milliseconds, while in production across regions or under high load the delay amplifies to seconds, and only then do duplicate dispatches suddenly erupt.
A query returning 'not found' has two failure modes that look exactly the same: the action genuinely failed (no write), and the action succeeded but the read replica has not yet synchronized.
Under the naive read-modify-write pattern, multiple asynchronous processes reading and writing the same account simultaneously can lead to double-spend vulnerabilities; a pure double-entry ledger does not store a mutable balance column, so the attack vector shifts to summing the entries, but under high concurrency inserting conflicting transactions can still introduce races.
The race condition example in which two concurrent withdrawal requests each for 60.00 successfully withdraw 120.00 from an account with a balance of 100.00 illustrates the flaws of mutable state.
When multiple agents concurrently act on shared mutable state, race conditions—an age-old bug in distributed computing—are reintroduced.
Race Conditions refer to problems that arise when a computer tries to do multiple things at the same moment
Classic race conditions occur when multiple agents read from and write to a shared context.
This fix resolves a race condition issue with completion requests in rapid successive trigger scenarios, where the completion of an older request could incorrectly affect the state management of a newer request.
1 more timeline events
All Facts (12)
An attacker can, by carefully arranging thread scheduling and system call timing, create a window between the permission check and the use of the resource, so that after the kernel 'passes the check' but before it uses the resource, the resource has already been replaced or freed. Such vulnerabilities are difficult to find through static code review and cannot be reliably reproduced by conventional fuzzing.
50%UnverifiedKernel vulnerabilities are often hidden in the subtle handling of system calls, race conditions, and the fuzzy boundaries of privilege.
50%UnverifiedRace conditions are often non-reproducible in distributed systems: under low-load local testing the replication delay may be only a few milliseconds, while in production across regions or under high load the delay amplifies to seconds, and only then do duplicate dispatches suddenly erupt.
50%UnverifiedA query returning 'not found' has two failure modes that look exactly the same: the action genuinely failed (no write), and the action succeeded but the read replica has not yet synchronized.
50%UnverifiedUnder the naive read-modify-write pattern, multiple asynchronous processes reading and writing the same account simultaneously can lead to double-spend vulnerabilities; a pure double-entry ledger does not store a mutable balance column, so the attack vector shifts to summing the entries, but under high concurrency inserting conflicting transactions can still introduce races.
50%UnverifiedThe race condition example in which two concurrent withdrawal requests each for 60.00 successfully withdraw 120.00 from an account with a balance of 100.00 illustrates the flaws of mutable state.
50%UnverifiedWhen multiple agents concurrently act on shared mutable state, race conditions—an age-old bug in distributed computing—are reintroduced.
50%UnverifiedRace Conditions refer to problems that arise when a computer tries to do multiple things at the same moment
50%UnverifiedClassic race conditions occur when multiple agents read from and write to a shared context.
50%UnverifiedThis fix resolves a race condition issue with completion requests in rapid successive trigger scenarios, where the completion of an older request could incorrectly affect the state management of a newer request.
50%UnverifiedIn concurrently scaled multi-agent systems, read-write race conditions occur where one agent reads shared state before another has finished writing.
50%Unverified竞态条件是程序行为依赖于多个线程或进程执行的相对时序，当时序不确定时可能在极少数特定时序下产生错误，是长期潜伏Bug的重要来源
50%