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[OLK-5.10] mm/slub: add missing TID updates on slab deactivation
Done
#I5LJFH
Task
刘勇强
member
Opened this issue
2022-08-10 09:30
#### 1. 问题描述 内存管理模块slub percpu变量TID 未及时更新导致内存泄漏或者uaf踩内存 #### 2. 涉及的模块 mm/slub #### 3. 引入问题的补丁 | commit号 | 补丁标题 | 主线版本 | | ------------- | ------------------------------------------------------------ | -------- | | c17dda40a6a4e | slub: Separate out kmem_cache_cpu processing from deactivate_slab | v3.6-rc1 | | 03e404af26dc2 | slub: fast release on full slab | v3.1-rc1 | #### 4. 修复问题的补丁 | 主线commit号 | 补丁标题 | 主线版本 | | ------------ | ----------------------------------------------------- | --------- | | eeaa345e1285 | mm/slub: add missing TID updates on slab deactivation | v5.19-rc3 | | 6c32496964da | mm/slub: add missing TID updates on slab deactivation | v5.10.130 | | e2b2f0e2e34d | mm/slub: add missing TID updates on slab deactivation | v4.19.252 | #### 5. 根因分析 在do_slab_free()以及slab_alloc_node存在并发场景(抢占或者中断),由于___slab_alloc()中未及时更新TID导致出现```c->page == NULL && c->freelist != NULL```的情况,之后可能导致内存泄漏或者UAF踩内存。 以openEuler-1.0-LTS版本为例:(针对同一个kmem_cache) ```c TASK A: begin do_slab_free(): - tid = this_cpu_read(s->cpu_slab->tid); - c = raw_cpu_ptr(s->cpu_slab); - check `page == c->page` (true) - read pcpu freelist (==NULL) - [PREEMPT A->B] - task B: begin slab_alloc_node(): - fastpath fails (`c->freelist` is NULL) - enter __slab_alloc() - local_irq_save() (disables preemption) - enter ___slab_alloc() - read c->freelist as NULL - get_freelist() returns NULL - write `c->page = NULL` - goto new_slab - slub_percpu_partial() is NULL - enter new_slab_objects() - get_partial() returns NULL - enter new_slab() - enter allocate_slab() - if (gfpflags_allow_blocking(flags)) (GFP_KERNEL is ok) - local_irq_enable() (enables preemption) - [PREEMPT B->A] - task A: finish do_slab_free(): - this_cpu_cmpxchg_double() succeeds() (only check freelist and tid) - [CORRUPT STATE: c->page==NULL, c->freelist!=NULL] ``` **内存泄漏情况:** TASK B接着运行 ```c TASK B: continue in new_slab_objects() (alloc page success) - freelist = page->freelist - c->page = page; - return to __slab_alloc() - goto load_freelist - c->freelist = get_freepointer(s, freelist) (clobbers TASK A set freelist cause memleak) - c->tid = next_tid(c->tid) ``` **UAF踩内存情况:** TASK A 申请另一个slab (CPU_PARTIAL_FREE 场景) ```c - task A: run __slab_free() on object from other struct slab: - CPU_PARTIAL_FREE case (slab was on no list, is now on pcpu partial) - task A: run slab_alloc_node() with NUMA node constraint: - fastpath fails (c->page is NULL) - call __slab_alloc() - local_irq_save() (disables preemption) - entet ___slab_alloc() - c->page is NULL: goto new_slab - slub_percpu_partial() is non-NULL - set c->page to slub_percpu_partial(c) - [CORRUPT STATE: c->slab points to slab-1, c->freelist has objects from slab-2] - goto redo - node_match() fails - enter deactivate_slab() - existing c->freelist is passed into deactivate_slab() - inuse count of slab-1 is decremented to account for object from slab-2 (cause slab-1 inuse lower, page will be free) ``` 如果刚好有人申请到这个被踩的page,就会出现踩内存的问题。 #### 6. 问题触发场景 **在可抢占内核中概率较高,非抢占内核由于在```alloc_page_nodes()```中如果内存不足触发内存回收情况可能会睡眠,中断场景也有可能触发该情况。** openEuler-1.0-LTS 上开启CONFIG_PREEMPT 打上如下故障注入补丁: ``` @@ -1602,7 +1603,10 @@ static struct page *allocate_slab(struct kmem_cache *s, gfp_> if (gfpflags_allow_blocking(flags)) local_irq_enable(); + + if (!in_atomic()) + schedule(); + flags |= s->allocflags; /* @@ -2615,6 +2619,7 @@ static void *___slab_alloc(struct kmem_cache *s, gfp_t gfpfla> goto redo; } freelist = new_slab_objects(s, gfpflags, node, &c); if (unlikely(!freelist)) { @@ -2682,6 +2687,7 @@ static __always_inline void *slab_alloc_node(struct kmem_cach> if (!s) return NULL; redo: /* * Must read kmem_cache cpu data via this cpu ptr. Preemption is * enabled. We may switch back and forth between cpus while @@ -2717,6 +2723,7 @@ static __always_inline void *slab_alloc_node(struct kmem_cach> object = c->freelist; page = c->page; if (unlikely(!object || !node_match(page, node))) { object = __slab_alloc(s, gfpflags, node, addr, c); stat(s, ALLOC_SLOWPATH); @@ -2976,9 +2983,13 @@ static __always_inline void do_slab_free(struct kmem_cache *> if (likely(page == c->page)) { void **freelist = READ_ONCE(c->freelist); + unsigned long flags; set_freepointer(s, tail_obj, freelist); + if (!in_atomic()) + schedule(); + if (unlikely(!this_cpu_cmpxchg_double( s->cpu_slab->freelist, s->cpu_slab->tid, freelist, tid, @@ -2987,6 +2998,9 @@ static __always_inline void do_slab_free(struct kmem_cache *s, note_cmpxchg_failure("slab_free", s, tid); goto redo; } + local_irq_save(flags); + WARN_ON(!READ_ONCE(c->page) && READ_ONCE(c->freelist)); + local_irq_restore(flags); stat(s, FREE_FASTPATH); } else __slab_free(s, page, head, tail_obj, cnt, addr); ``` 虚拟机配置为(12CPU, 24G内存): poc代码(unstable): ```c #include <stdio.h> #include <pthread.h> #include <fcntl.h> #include <unistd.h> #include <sys/types.h> #include <sys/stat.h> #define MAX_NUMS 4096 #define FILE_LEN 32 #define MAX_THREADS 32 void *tst_thread(void *arg) { int i; int fd[MAX_NUMS]; while(1) { for (i = 0; i < MAX_NUMS; i++) { char name[FILE_LEN]; sprintf(name, "./test%d-%d", *(int *)arg, i); fd[i] = open(name, O_CREAT | O_RDWR); if (fd[i] < 0) continue; if (i % 5 == 0) usleep(10); write(fd[i], "dddd", 0); close(fd[i]); } } } int main() { int i; pthread_t t; for (i = 0; i < MAX_THREADS; i++) { pthread_create(&t, NULL, tst_thread, &i); } while (1) { sleep(1); } return 0; } ``` 同时进行syzkaller测试: ``` ./syz-execprog -executor=./syz-executor -repeat=0 -procs=14 -cover=0 log ``` 这里的syz log非特殊log,使用任意syzlog应该也可行。 大概半小时之后可以触发如下告警日志: ``` syzkaller login: [ 119.561701] ------------[ cut here ]------------ [ 119.561701] ------------[ cut here ]------------ [ 119.563119] WARNING: CPU: 5 PID: 526 at mm/slub.c:3002 kmem_cache_free+0x150/0x308 [ 119.563119] WARNING: CPU: 5 PID: 526 at mm/slub.c:3002 kmem_cache_free+0x150/0x308 [ 119.565077] Modules linked in: [ 119.565077] Modules linked in: [ 119.565875] CPU: 5 PID: 526 Comm: syz-executor Tainted: G W 4.19.90+ #106 [ 119.565875] CPU: 5 PID: 526 Comm: syz-executor Tainted: G W 4.19.90+ #106 [ 119.567974] Hardware name: QEMU KVM Virtual Machine, BIOS 0.0.0 02/06/2015 [ 119.567974] Hardware name: QEMU KVM Virtual Machine, BIOS 0.0.0 02/06/2015 [ 119.569756] pstate: 40400085 (nZcv daIf +PAN -UAO) [ 119.569756] pstate: 40400085 (nZcv daIf +PAN -UAO) [ 119.571007] pc : kmem_cache_free+0x150/0x308 [ 119.571007] pc : kmem_cache_free+0x150/0x308 [ 119.572129] lr : kmem_cache_free+0x150/0x308 [ 119.572129] lr : kmem_cache_free+0x150/0x308 [ 119.573233] sp : ffff0000254cfcc0 [ 119.573233] sp : ffff0000254cfcc0 [ 119.574089] x29: ffff0000254cfcc0 x28: ffff8000c4aa9d80 [ 119.574089] x29: ffff0000254cfcc0 x28: ffff8000c4aa9d80 [ 119.575479] x27: 0000000000000000 x26: 0000000000000000 [ 119.575479] x27: 0000000000000000 x26: 0000000000000000 [ 119.576866] x25: ffff8000c001ae00 x24: ffff8003fff82480 [ 119.576866] x25: ffff8000c001ae00 x24: ffff8003fff82480 [ 119.578242] x23: 0000000000000000 x22: 0000000000000000 [ 119.578242] x23: 0000000000000000 x22: 0000000000000000 [ 119.579638] x21: ffff000008394b80 x20: ffff800100676540 [ 119.579638] x21: ffff000008394b80 x20: ffff800100676540 [ 119.581013] x19: 0000000000000000 x18: ffffffffffffffff [ 119.581013] x19: 0000000000000000 x18: ffffffffffffffff [ 119.582382] x17: 0000000000000000 x16: 0000000000000000 [ 119.582382] x17: 0000000000000000 x16: 0000000000000000 [ 119.583753] x15: ffff000008ed6260 x14: ffff0000895eb237 [ 119.583753] x15: ffff000008ed6260 x14: ffff0000895eb237 [ 119.585146] x13: ffff0000095eb245 x12: ffff0000093ded70 [ 119.585146] x13: ffff0000095eb245 x12: ffff0000093ded70 [ 119.586526] x11: 0000000005f5e0ff x10: ffff0000254cf9a0 [ 119.586526] x11: 0000000005f5e0ff x10: ffff0000254cf9a0 [ 119.587919] x9 : 00000000ffffffd0 x8 : 5d20657265682074 [ 119.587919] x9 : 00000000ffffffd0 x8 : 5d20657265682074 [ 119.589311] x7 : 7563205b2d2d2d2d x6 : ffff8003fff62450 [ 119.589311] x7 : 7563205b2d2d2d2d x6 : ffff8003fff62450 [ 119.590685] x5 : ffff8003fff62450 x4 : 00008003f6ef0000 [ 119.590685] x5 : ffff8003fff62450 x4 : 00008003f6ef0000 [ 119.592084] x3 : 0000000000000002 x2 : 2109c8ec81ebf500 [ 119.592084] x3 : 0000000000000002 x2 : 2109c8ec81ebf500 [ 119.593468] x1 : 0000000000000000 x0 : 0000000000000024 [ 119.593468] x1 : 0000000000000000 x0 : 0000000000000024 [ 119.594850] Call trace: [ 119.594850] Call trace: [ 119.595552] kmem_cache_free+0x150/0x308 [ 119.595552] kmem_cache_free+0x150/0x308 [ 119.596571] dentry_free+0x70/0xe0 [ 119.596571] dentry_free+0x70/0xe0 [ 119.597455] __dentry_kill+0x168/0x208 [ 119.597455] __dentry_kill+0x168/0x208 [ 119.598417] dentry_kill+0x54/0x250 [ 119.598417] dentry_kill+0x54/0x250 [ 119.599324] dput+0x1b0/0x220 [ 119.599324] dput+0x1b0/0x220 [ 119.600103] __fput+0xcc/0x1d0 [ 119.600103] __fput+0xcc/0x1d0 [ 119.600907] ____fput+0x20/0x30 [ 119.600907] ____fput+0x20/0x30 [ 119.601720] task_work_run+0x80/0xe0 [ 119.601720] task_work_run+0x80/0xe0 [ 119.602639] do_notify_resume+0x134/0x360 [ 119.602639] do_notify_resume+0x134/0x360 [ 119.603665] work_pending+0x8/0x10 [ 119.603665] work_pending+0x8/0x10 [ 119.604554] ---[ end trace e1229a390b481ae1 ]--- ``` 打上如下修复补丁则24小时未复现: ``` diff --git a/mm/slub.c b/mm/slub.c index 7b5630ca9274..4bc29bcd0d5d 100644 --- a/mm/slub.c +++ b/mm/slub.c @@ -2168,6 +2168,7 @@ static void deactivate_slab(struct kmem_cache *s, struct page *page, c->page = NULL; c->freelist = NULL; + c->tid = next_tid(c->tid); } /* @@ -2301,8 +2302,6 @@ static inline void flush_slab(struct kmem_cache *s, struct kmem_cache_cpu *c) { stat(s, CPUSLAB_FLUSH); deactivate_slab(s, c->page, c->freelist, c); - - c->tid = next_tid(c->tid); } /* @@ -2589,6 +2588,7 @@ static void *___slab_alloc(struct kmem_cache *s, gfp_t gfpflags, int node, if (!freelist) { c->page = NULL; + c->tid = next_tid(c->tid); stat(s, DEACTIVATE_BYPASS); goto new_slab; } ``` #### 7. 确认方法 CONFIG_SLUB=y则涉及(默认打开)。 CONFIG_PREEMPT=y 出现概率较高。 #### 8. 影响和风险 内存泄漏或者uaf踩内存。 #### 9. 规避手段 无。 #### 10. 解决方案 合入修复补丁。
#### 1. 问题描述 内存管理模块slub percpu变量TID 未及时更新导致内存泄漏或者uaf踩内存 #### 2. 涉及的模块 mm/slub #### 3. 引入问题的补丁 | commit号 | 补丁标题 | 主线版本 | | ------------- | ------------------------------------------------------------ | -------- | | c17dda40a6a4e | slub: Separate out kmem_cache_cpu processing from deactivate_slab | v3.6-rc1 | | 03e404af26dc2 | slub: fast release on full slab | v3.1-rc1 | #### 4. 修复问题的补丁 | 主线commit号 | 补丁标题 | 主线版本 | | ------------ | ----------------------------------------------------- | --------- | | eeaa345e1285 | mm/slub: add missing TID updates on slab deactivation | v5.19-rc3 | | 6c32496964da | mm/slub: add missing TID updates on slab deactivation | v5.10.130 | | e2b2f0e2e34d | mm/slub: add missing TID updates on slab deactivation | v4.19.252 | #### 5. 根因分析 在do_slab_free()以及slab_alloc_node存在并发场景(抢占或者中断),由于___slab_alloc()中未及时更新TID导致出现```c->page == NULL && c->freelist != NULL```的情况,之后可能导致内存泄漏或者UAF踩内存。 以openEuler-1.0-LTS版本为例:(针对同一个kmem_cache) ```c TASK A: begin do_slab_free(): - tid = this_cpu_read(s->cpu_slab->tid); - c = raw_cpu_ptr(s->cpu_slab); - check `page == c->page` (true) - read pcpu freelist (==NULL) - [PREEMPT A->B] - task B: begin slab_alloc_node(): - fastpath fails (`c->freelist` is NULL) - enter __slab_alloc() - local_irq_save() (disables preemption) - enter ___slab_alloc() - read c->freelist as NULL - get_freelist() returns NULL - write `c->page = NULL` - goto new_slab - slub_percpu_partial() is NULL - enter new_slab_objects() - get_partial() returns NULL - enter new_slab() - enter allocate_slab() - if (gfpflags_allow_blocking(flags)) (GFP_KERNEL is ok) - local_irq_enable() (enables preemption) - [PREEMPT B->A] - task A: finish do_slab_free(): - this_cpu_cmpxchg_double() succeeds() (only check freelist and tid) - [CORRUPT STATE: c->page==NULL, c->freelist!=NULL] ``` **内存泄漏情况:** TASK B接着运行 ```c TASK B: continue in new_slab_objects() (alloc page success) - freelist = page->freelist - c->page = page; - return to __slab_alloc() - goto load_freelist - c->freelist = get_freepointer(s, freelist) (clobbers TASK A set freelist cause memleak) - c->tid = next_tid(c->tid) ``` **UAF踩内存情况:** TASK A 申请另一个slab (CPU_PARTIAL_FREE 场景) ```c - task A: run __slab_free() on object from other struct slab: - CPU_PARTIAL_FREE case (slab was on no list, is now on pcpu partial) - task A: run slab_alloc_node() with NUMA node constraint: - fastpath fails (c->page is NULL) - call __slab_alloc() - local_irq_save() (disables preemption) - entet ___slab_alloc() - c->page is NULL: goto new_slab - slub_percpu_partial() is non-NULL - set c->page to slub_percpu_partial(c) - [CORRUPT STATE: c->slab points to slab-1, c->freelist has objects from slab-2] - goto redo - node_match() fails - enter deactivate_slab() - existing c->freelist is passed into deactivate_slab() - inuse count of slab-1 is decremented to account for object from slab-2 (cause slab-1 inuse lower, page will be free) ``` 如果刚好有人申请到这个被踩的page,就会出现踩内存的问题。 #### 6. 问题触发场景 **在可抢占内核中概率较高,非抢占内核由于在```alloc_page_nodes()```中如果内存不足触发内存回收情况可能会睡眠,中断场景也有可能触发该情况。** openEuler-1.0-LTS 上开启CONFIG_PREEMPT 打上如下故障注入补丁: ``` @@ -1602,7 +1603,10 @@ static struct page *allocate_slab(struct kmem_cache *s, gfp_> if (gfpflags_allow_blocking(flags)) local_irq_enable(); + + if (!in_atomic()) + schedule(); + flags |= s->allocflags; /* @@ -2615,6 +2619,7 @@ static void *___slab_alloc(struct kmem_cache *s, gfp_t gfpfla> goto redo; } freelist = new_slab_objects(s, gfpflags, node, &c); if (unlikely(!freelist)) { @@ -2682,6 +2687,7 @@ static __always_inline void *slab_alloc_node(struct kmem_cach> if (!s) return NULL; redo: /* * Must read kmem_cache cpu data via this cpu ptr. Preemption is * enabled. We may switch back and forth between cpus while @@ -2717,6 +2723,7 @@ static __always_inline void *slab_alloc_node(struct kmem_cach> object = c->freelist; page = c->page; if (unlikely(!object || !node_match(page, node))) { object = __slab_alloc(s, gfpflags, node, addr, c); stat(s, ALLOC_SLOWPATH); @@ -2976,9 +2983,13 @@ static __always_inline void do_slab_free(struct kmem_cache *> if (likely(page == c->page)) { void **freelist = READ_ONCE(c->freelist); + unsigned long flags; set_freepointer(s, tail_obj, freelist); + if (!in_atomic()) + schedule(); + if (unlikely(!this_cpu_cmpxchg_double( s->cpu_slab->freelist, s->cpu_slab->tid, freelist, tid, @@ -2987,6 +2998,9 @@ static __always_inline void do_slab_free(struct kmem_cache *s, note_cmpxchg_failure("slab_free", s, tid); goto redo; } + local_irq_save(flags); + WARN_ON(!READ_ONCE(c->page) && READ_ONCE(c->freelist)); + local_irq_restore(flags); stat(s, FREE_FASTPATH); } else __slab_free(s, page, head, tail_obj, cnt, addr); ``` 虚拟机配置为(12CPU, 24G内存): poc代码(unstable): ```c #include <stdio.h> #include <pthread.h> #include <fcntl.h> #include <unistd.h> #include <sys/types.h> #include <sys/stat.h> #define MAX_NUMS 4096 #define FILE_LEN 32 #define MAX_THREADS 32 void *tst_thread(void *arg) { int i; int fd[MAX_NUMS]; while(1) { for (i = 0; i < MAX_NUMS; i++) { char name[FILE_LEN]; sprintf(name, "./test%d-%d", *(int *)arg, i); fd[i] = open(name, O_CREAT | O_RDWR); if (fd[i] < 0) continue; if (i % 5 == 0) usleep(10); write(fd[i], "dddd", 0); close(fd[i]); } } } int main() { int i; pthread_t t; for (i = 0; i < MAX_THREADS; i++) { pthread_create(&t, NULL, tst_thread, &i); } while (1) { sleep(1); } return 0; } ``` 同时进行syzkaller测试: ``` ./syz-execprog -executor=./syz-executor -repeat=0 -procs=14 -cover=0 log ``` 这里的syz log非特殊log,使用任意syzlog应该也可行。 大概半小时之后可以触发如下告警日志: ``` syzkaller login: [ 119.561701] ------------[ cut here ]------------ [ 119.561701] ------------[ cut here ]------------ [ 119.563119] WARNING: CPU: 5 PID: 526 at mm/slub.c:3002 kmem_cache_free+0x150/0x308 [ 119.563119] WARNING: CPU: 5 PID: 526 at mm/slub.c:3002 kmem_cache_free+0x150/0x308 [ 119.565077] Modules linked in: [ 119.565077] Modules linked in: [ 119.565875] CPU: 5 PID: 526 Comm: syz-executor Tainted: G W 4.19.90+ #106 [ 119.565875] CPU: 5 PID: 526 Comm: syz-executor Tainted: G W 4.19.90+ #106 [ 119.567974] Hardware name: QEMU KVM Virtual Machine, BIOS 0.0.0 02/06/2015 [ 119.567974] Hardware name: QEMU KVM Virtual Machine, BIOS 0.0.0 02/06/2015 [ 119.569756] pstate: 40400085 (nZcv daIf +PAN -UAO) [ 119.569756] pstate: 40400085 (nZcv daIf +PAN -UAO) [ 119.571007] pc : kmem_cache_free+0x150/0x308 [ 119.571007] pc : kmem_cache_free+0x150/0x308 [ 119.572129] lr : kmem_cache_free+0x150/0x308 [ 119.572129] lr : kmem_cache_free+0x150/0x308 [ 119.573233] sp : ffff0000254cfcc0 [ 119.573233] sp : ffff0000254cfcc0 [ 119.574089] x29: ffff0000254cfcc0 x28: ffff8000c4aa9d80 [ 119.574089] x29: ffff0000254cfcc0 x28: ffff8000c4aa9d80 [ 119.575479] x27: 0000000000000000 x26: 0000000000000000 [ 119.575479] x27: 0000000000000000 x26: 0000000000000000 [ 119.576866] x25: ffff8000c001ae00 x24: ffff8003fff82480 [ 119.576866] x25: ffff8000c001ae00 x24: ffff8003fff82480 [ 119.578242] x23: 0000000000000000 x22: 0000000000000000 [ 119.578242] x23: 0000000000000000 x22: 0000000000000000 [ 119.579638] x21: ffff000008394b80 x20: ffff800100676540 [ 119.579638] x21: ffff000008394b80 x20: ffff800100676540 [ 119.581013] x19: 0000000000000000 x18: ffffffffffffffff [ 119.581013] x19: 0000000000000000 x18: ffffffffffffffff [ 119.582382] x17: 0000000000000000 x16: 0000000000000000 [ 119.582382] x17: 0000000000000000 x16: 0000000000000000 [ 119.583753] x15: ffff000008ed6260 x14: ffff0000895eb237 [ 119.583753] x15: ffff000008ed6260 x14: ffff0000895eb237 [ 119.585146] x13: ffff0000095eb245 x12: ffff0000093ded70 [ 119.585146] x13: ffff0000095eb245 x12: ffff0000093ded70 [ 119.586526] x11: 0000000005f5e0ff x10: ffff0000254cf9a0 [ 119.586526] x11: 0000000005f5e0ff x10: ffff0000254cf9a0 [ 119.587919] x9 : 00000000ffffffd0 x8 : 5d20657265682074 [ 119.587919] x9 : 00000000ffffffd0 x8 : 5d20657265682074 [ 119.589311] x7 : 7563205b2d2d2d2d x6 : ffff8003fff62450 [ 119.589311] x7 : 7563205b2d2d2d2d x6 : ffff8003fff62450 [ 119.590685] x5 : ffff8003fff62450 x4 : 00008003f6ef0000 [ 119.590685] x5 : ffff8003fff62450 x4 : 00008003f6ef0000 [ 119.592084] x3 : 0000000000000002 x2 : 2109c8ec81ebf500 [ 119.592084] x3 : 0000000000000002 x2 : 2109c8ec81ebf500 [ 119.593468] x1 : 0000000000000000 x0 : 0000000000000024 [ 119.593468] x1 : 0000000000000000 x0 : 0000000000000024 [ 119.594850] Call trace: [ 119.594850] Call trace: [ 119.595552] kmem_cache_free+0x150/0x308 [ 119.595552] kmem_cache_free+0x150/0x308 [ 119.596571] dentry_free+0x70/0xe0 [ 119.596571] dentry_free+0x70/0xe0 [ 119.597455] __dentry_kill+0x168/0x208 [ 119.597455] __dentry_kill+0x168/0x208 [ 119.598417] dentry_kill+0x54/0x250 [ 119.598417] dentry_kill+0x54/0x250 [ 119.599324] dput+0x1b0/0x220 [ 119.599324] dput+0x1b0/0x220 [ 119.600103] __fput+0xcc/0x1d0 [ 119.600103] __fput+0xcc/0x1d0 [ 119.600907] ____fput+0x20/0x30 [ 119.600907] ____fput+0x20/0x30 [ 119.601720] task_work_run+0x80/0xe0 [ 119.601720] task_work_run+0x80/0xe0 [ 119.602639] do_notify_resume+0x134/0x360 [ 119.602639] do_notify_resume+0x134/0x360 [ 119.603665] work_pending+0x8/0x10 [ 119.603665] work_pending+0x8/0x10 [ 119.604554] ---[ end trace e1229a390b481ae1 ]--- ``` 打上如下修复补丁则24小时未复现: ``` diff --git a/mm/slub.c b/mm/slub.c index 7b5630ca9274..4bc29bcd0d5d 100644 --- a/mm/slub.c +++ b/mm/slub.c @@ -2168,6 +2168,7 @@ static void deactivate_slab(struct kmem_cache *s, struct page *page, c->page = NULL; c->freelist = NULL; + c->tid = next_tid(c->tid); } /* @@ -2301,8 +2302,6 @@ static inline void flush_slab(struct kmem_cache *s, struct kmem_cache_cpu *c) { stat(s, CPUSLAB_FLUSH); deactivate_slab(s, c->page, c->freelist, c); - - c->tid = next_tid(c->tid); } /* @@ -2589,6 +2588,7 @@ static void *___slab_alloc(struct kmem_cache *s, gfp_t gfpflags, int node, if (!freelist) { c->page = NULL; + c->tid = next_tid(c->tid); stat(s, DEACTIVATE_BYPASS); goto new_slab; } ``` #### 7. 确认方法 CONFIG_SLUB=y则涉及(默认打开)。 CONFIG_PREEMPT=y 出现概率较高。 #### 8. 影响和风险 内存泄漏或者uaf踩内存。 #### 9. 规避手段 无。 #### 10. 解决方案 合入修复补丁。
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5.10.0-136.69.0
5.10.0-60.131.0
4.19.90-2403.4.0
6.6.0-13.0.0
5.10.0-192.0.0
5.10.0-153.47.0
5.10.0-136.68.0
5.10.0-60.130.0
4.19.90-2403.3.0
6.6.0-12.0.0
5.10.0-191.0.0
5.10.0-153.46.0
5.10.0-136.67.0
5.10.0-60.129.0
6.6.0-11.0.0
4.19.90-2403.2.0
5.10.0-190.0.0
5.10.0-153.45.0
5.10.0-136.66.0
5.10.0-60.128.0
4.19.90-2403.1.0
4.19.90-2402.6.0
5.10.0-189.0.0
5.10.0-153.44.0
5.10.0-136.65.0
5.10.0-60.127.0
6.6.0-10.0.0
5.10.0-188.0.0
5.10.0-153.43.0
5.10.0-136.64.0
5.10.0-60.126.0
4.19.90-2402.5.0
6.6.0-9.0.0
5.10.0-187.0.0
5.10.0-153.42.0
5.10.0-136.63.0
5.10.0-60.125.0
6.6.0-8.0.0
4.19.90-2402.4.0
4.19.90-2402.3.0
4.19.90-2402.2.0
5.10.0-186.0.0
5.10.0-153.41.0
5.10.0-136.62.0
5.10.0-60.124.0
4.19.90-2402.1.0
6.6.0-7.0.0
5.10.0-185.0.0
5.10.0-153.40.0
5.10.0-136.61.0
5.10.0-60.123.0
4.19.90-2401.5.0
6.6.0-6.0.0
5.10.0-184.0.0
5.10.0-153.39.0
5.10.0-136.60.0
5.10.0-60.122.0
4.19.90-2401.4.0
6.6.0-5.0.0
5.10.0-183.0.0
5.10.0-153.38.0
5.10.0-136.59.0
5.10.0-60.121.0
4.19.90-2401.3.0
4.19.90-2401.2.0
6.6.0-4.0.0
4.19.90-2401.1.0
5.10.0-153.37.0
5.10.0-136.58.0
5.10.0-60.120.0
4.19.90-2312.6.0
4.19.90-2312.5.0
6.6.0-3.0.0
5.10.0-182.0.0
5.10.0-181.0.0
5.10.0-180.0.0
5.10.0-153.36.0
4.19.90-2312.4.0
5.10.0-179.0.0
6.6.0-2.0.0
5.10.0-178.0.0
5.10.0-177.0.0
4.19.90-2312.3.0
4.19.90-2312.2.0
5.10.0-176.0.0
5.10.0-175.0.0
4.19.90-2312.1.0
5.10.0-174.0.0
5.10.0-153.35.0
5.10.0-136.57.0
5.10.0-60.119.0
6.6.0-1.0.0
5.10.0-173.0.0
5.10.0-153.34.0
5.10.0-136.56.0
5.10.0-60.118.0
4.19.90-2311.5.0
5.10.0-172.0.0
5.10.0-171.0.0
4.19.90-2311.4.0
5.10.0-170.0.0
5.10.0-169.0.0
5.10.0-168.0.0
5.10.0-153.33.0
5.10.0-136.55.0
5.10.0-60.117.0
4.19.90-2311.3.0
5.10.0-167.0.0
5.10.0-153.32.0
5.10.0-136.54.0
5.10.0-60.116.0
4.19.90-2311.2.0
5.10.0-166.0.0
4.19.90-2311.1.0
5.10.0-165.0.0
5.10.0-153.31.0
5.10.0-136.53.0
5.10.0-60.115.0
v6.6
5.10.0-164.0.0
4.19.90-2310.4.0
4.19.90-2310.3.0
5.10.0-163.0.0
5.10.0-153.30.0
5.10.0-136.52.0
5.10.0-60.114.0
5.10.0-162.0.0
5.10.0-153.29.0
5.10.0-136.51.0
5.10.0-60.113.0
4.19.90-2310.2.0
4.19.90-2310.1.0
4.19.90-2309.5.0
6.4.0-10.1.0
5.10.0-161.0.0
6.4.0-7.0.1
6.4.0-10.0.0
6.4.0-6.0.6
6.4.0-6.0.5
6.4.0-6.0.4
6.4.0-6.0.3
6.4.0-6.0.2
6.4.0-6.0.1
5.10.0-153.28.0
5.10.0-136.50.0
5.10.0-60.112.0
4.19.90-2309.4.0
6.4.0-9.0.0
5.10.0-153.27.0
5.10.0-136.49.0
5.10.0-60.111.0
6.4.0-8.0.0
4.19.90-2309.3.0
6.4.0-7.0.0
4.19.90-2309.2.0
5.10.0-160.0.0
6.4.0-6.0.0
5.10.0-153.26.0
5.10.0-136.48.0
5.10.0-60.110.0
4.19.90-2309.1.0
6.4.0-5.0.0
6.4.0-4.0.0
6.4.0-3.0.0
4.19.90-2308.5.0
6.4.0-2.0.0
5.10.0-153.25.0
5.10.0-136.47.0
5.10.0-60.109.0
5.10.0-159.0.0
6.4.0-1.0.2
4.19.90-2308.4.0
5.10.0-153.24.0
5.10.0-136.46.0
5.10.0-60.108.0
4.19.90-2308.3.0
5.10.0-153.23.0
5.10.0-136.45.0
5.10.0-60.107.0
5.10.0-158.0.0
5.10.0-153.22.0
5.10.0-60.106.0
5.10.0-136.44.0
4.19.90-2308.2.0
5.10.0-153.21.0
5.10.0-60.105.0
5.10.0-136.43.0
4.19.90-2308.1.0
6.4.0-1.0.1
5.10.0-157.0.0
4.19.90-2307.5.0
5.10.0-153.20.0
5.10.0-60.104.0
5.10.0-136.42.0
5.10.0-153.19.0
5.10.0-60.103.0
5.10.0-136.41.0
4.19.90-2307.4.0
5.10.0-156.0.0
4.19.90-2307.3.0
5.10.0-153.18.0
5.10.0-60.102.0
5.10.0-136.40.0
6.4.0-1.0.0
4.19.90-2307.2.0
4.19.90-2307.1.0
5.10.0-60.101.0
5.10.0-153.17.0
5.10.0-136.39.0
4.19.90-2306.7.0
4.19.90-2306.6.0
5.10.0-155.0.0
5.10.0-153.16.0
4.19.90-2306.5.0
5.10.0-136.38.0
5.10.0-60.100.0
v6.4
5.10.0-153.12.0
5.10.0-153.10.0
5.10.0-60.99.0
5.10.0-136.37.0
4.19.90-2306.4.0
5.10.0-153.9.0
5.10.0-153.8.0
5.10.0-60.98.0
5.10.0-136.36.0
4.19.90-2306.3.0
5.10.0-153.6.0
5.10.0-153.5.0
5.10.0-154.0.0
5.10.0-153.4.0
4.19.90-2306.2.0
5.10.0-153.3.0
5.10.0-60.97.0
5.10.0-136.35.0
4.19.90-2306.1.0
5.10.0-153.2.0
5.10.0-153.1.0
5.10.0-60.96.0
5.10.0-136.34.0
4.19.90-2305.4.0
5.10.0-153.0.0
v6.4-rc4
5.10.0-152.0.0
4.19.90-2305.3.0
5.10.0-60.95.0
5.10.0-136.33.0
5.10.0-151.0.0
5.10.0-150.0.0
5.10.0-149.0.0
5.10.0-136.32.0
5.10.0-60.94.0
4.19.90-2305.2.0
5.10.0-60.93.0
5.10.0-136.31.0
4.19.90-2305.1.0
5.10.0-148.0.0
5.10.0-136.30.0
5.10.0-60.92.0
4.19.90-2304.5.0
v6.3
5.10.0-136.29.0
5.10.0-60.91.0
4.19.90-2304.4.0
5.10.0-136.28.0
5.10.0-60.90.0
4.19.90-2304.3.0
4.19.90-2304.2.0
5.10.0-147.0.0
4.19.90-2304.1.0
5.10.0-136.27.0
5.10.0-60.89.0
5.10.0-146.0.0
5.10.0-136.26.0
5.10.0-60.88.0
4.19.90-2303.6.0
5.10.0-60.87.0
5.10.0-136.25.0
4.19.90-2303.5.0
5.10.0-145.0.0
5.10.0-60.86.0
5.10.0-136.24.0
4.19.90-2303.4.0
5.10.0-136.23.0
5.10.0-60.85.0
4.19.90-2303.3.0
v6.1.19
4.19.90-2303.2.0
5.10.0-144.0.0
5.10.0-136.22.0
5.10.0-60.84.0
4.19.90-2303.1.0
5.10.0-60.83.0
5.10.0-136.21.0
4.19.90-2302.5.0
v6.1.14
5.10.0-143.0.0
5.10.0-60.82.0
5.10.0-136.20.0
4.19.90-2302.4.0
5.10.0-60.81.0
5.10.0-136.19.0
4.19.90-2302.3.0
5.10.0-142.0.0
4.19.90-2302.2.0
5.10.0-136.18.0
5.10.0-60.80.0
4.19.90-2302.1.0
5.10.0-60.79.0
5.10.0-136.17.0
4.19.90-2301.6.0
v6.1.8
v6.2-rc5
5.10.0-141.0.0
v6.1.7
5.10.0-136.16.0
5.10.0-60.78.0
4.19.90-2301.5.0
v6.2-rc4
v6.1.6
6.1.0-1.0.0
v6.1.5
4.19.90-2301.4.0
5.10.0-60.77.0
5.10.0-136.15.0
4.19.90-2301.3.0
4.19.90-2301.2.0
4.19.90-2301.1.0
5.10.0-136.14.2
5.10.0-60.76.0
5.10.0-140.0.0
5.10.0-136.13.2
5.10.0-60.75.0
5.10.0-60.74.0
5.10.0-136.12.2
4.19.90-2212.4.0
5.10.0-136.12.0
5.10.0-136.10.0
4.19.90-2212.3.0
5.10.0-136.8.0
5.10.0-136.7.0
5.10.0-139.0.0
5.10.0-136.6.0
5.10.0-136.5.0
5.10.0-60.73.0
5.10.0-136.4.0
5.10.0-136.3.0
5.10.0-138.0.0
5.10.0-136.2.0
5.10.0-60.72.0
5.10.0-60.71.0
5.10.0-137.0.0
5.10.0-136.1.0
v6.1
5.10.0-136.0.0
5.10.0-135.0.0
5.10.0-134.0.0
4.19.90-2212.2.0
5.10.0-133.0.0
5.10.0-60.70.0
4.19.90-2212.1.0
5.10.0-60.69.0
5.10.0-132.0.0
5.10.0-131.0.0
5.10.0-130.0.0
4.19.90-2211.6.0
5.10.0-129.0.0
5.10.0-60.68.0
4.19.90-2211.5.0
5.10.0-128.0.0
5.10.0-60.67.0
5.10.0-127.0.0
4.19.90-2211.4.0
5.10.0-60.66.0
5.10.0-126.0.0
4.19.90-2211.3.0
4.19.90-2211.2.0
5.10.0-125.0.0
5.10.0-60.65.0
5.10.0-60.64.0
4.19.90-2211.1.0
4.19.90-2210.5.0
5.10.0-123.0.0
5.10.0-60.63.0
5.10.0-60.62.0
4.19.90-2210.4.0
5.10.0-121.0.0
5.10.0-60.61.0
4.19.90-2210.3.0
5.10.0-60.60.0
5.10.0-120.0.0
5.10.0-60.59.0
5.10.0-119.0.0
4.19.90-2210.2.0
4.19.90-2210.1.0
5.10.0-118.0.0
5.10.0-106.19.0
5.10.0-60.58.0
4.19.90-2209.6.0
5.10.0-106.18.0
5.10.0-106.17.0
5.10.0-106.16.0
5.10.0-106.15.0
5.10.0-117.0.0
5.10.0-60.57.0
5.10.0-116.0.0
5.10.0-106.14.0
5.10.0-106.13.0
4.19.90-2209.5.0
4.19.90-2209.4.0
5.10.0-60.56.0
4.19.90-2209.3.0
5.10.0-106.12.0
5.10.0-106.10.0
5.10.0-106.11.0
5.10.0-60.55.0
4.19.90-2209.2.0
5.10.0-114.0.0
5.10.0-106.9.0
5.10.0-60.54.0
4.19.90-2209.1.0
5.10.0-113.0.0
5.10.0-60.53.0
5.10.0-106.8.0
4.19.90-2208.6.0
5.10.0-106.7.0
4.19.90-2208.5.0
5.10.0-112.0.0
5.10.0-106.6.0
5.10.0-60.52.0
5.10.0-60.51.0
5.10.0-106.3.1
4.19.90-2208.4.0
5.10.0-106.5.0
5.10.0-110.0.0
5.10.0-60.50.0
5.10.0-106.4.0
5.10.0-109.0.0
5.10.0-60.49.0
4.19.90-2208.3.0
4.19.90-2208.2.0
5.10.0-108.0.0
5.10.0-106.3.0
5.10.0-60.48.0
4.19.90-2208.1.0
5.10.0-106.2.0
5.10.0-107.0.0
5.10.0-60.47.0
4.19.90-2207.4.0
5.10.0-106.1.0
5.10.0-106.0.0
5.10.0-60.46.0
4.19.90-2207.3.0
5.10.0-105.0.0
5.10.0-60.45.0
5.10.0-60.44.0
5.10.0-104.0.0
5.10.0-103.0.0
5.10.0-60.43.0
4.19.90-2207.2.0
5.10.0-102.0.0
5.10.0-60.42.0
4.19.90-2207.1.0
5.10.0-101.0.0
5.10.0-60.41.0
5.10.0-100.0.0
4.19.90-2206.4.0
5.10.0-60.40.0
5.10.0-99.0.0
5.10.0-60.39.0
4.19.90-2206.3.0
5.10.0-98.0.0
5.10.0-60.38.0
4.19.90-2206.2.0
5.10.0-60.37.0
5.10.0-97.0.0
4.19.90-2206.1.0
5.10.0-60.36.0
5.10.0-96.0.0
4.19.90-2205.6.0
5.10.0-60.35.0
5.10.0-95.0.0
5.10.0-60.34.0
5.10.0-94.0.0
5.10.0-60.33.0
4.19.90-2205.5.0
5.10.0-93.0.0
5.10.0-60.32.0
5.10.0-92.0.0
5.10.0-91.0.0
5.10.0-60.31.0
5.10.0-90.0.0
5.10.0-60.30.0
4.19.90-2205.4.0
5.10.0-60.29.0
5.10.0-89.0.0
5.10.0-88.0.0
5.10.0-60.28.0
4.19.90-2205.3.0
4.19.90-2205.2.0
4.19.90-2205.1.0
5.10.0-87.0.0
5.10.0-86.0.0
5.10.0-60.27.0
5.10.0-60.26.0
5.10.0-85.0.0
5.10.0-60.25.0
5.10.0-60.24.0
5.10.0-84.0.0
4.19.90-2204.4.0
5.10.0-60.23.0
5.10.0-83.0.0
5.10.0-82.0.0
5.10.0-60.22.0
5.10.0-81.0.0
5.10.0-60.21.0
4.19.90-2204.3.0
5.10.0-80.0.0
5.10.0-60.20.0
5.10.0-60.19.0
4.19.90-2204.2.0
5.10.0-79.0.0
4.19.90-2204.1.0
4.19.90-2203.5.0
5.10.0-78.0.0
5.10.0-77.0.0
5.10.0-60.18.0
5.10.0-60.17.0
5.10.0-60.16.0
5.10.0-76.0.0
4.19.90-2203.4.0
5.10.0-75.0.0
5.10.0-60.15.0
5.10.0-74.0.0
5.10.0-60.14.0
5.10.0-73.0.0
5.10.0-60.13.0
5.10.0-60.12.0
5.10.0-72.0.0
5.10.0-60.11.0
5.10.0-71.0.0
5.10.0-70.0.0
5.10.0-60.10.0
4.19.90-2203.3.0
5.10.0-69.0.0
5.10.0-68.0.0
5.10.0-60.9.0
5.10.0-60.8.0
5.10.0-60.7.0
5.10.0-67.0.0
5.10.0-5.10.1
5.10.0-5.12.0
5.10.0-66.0.0
5.10.0-60.6.0
5.10.0-65.0.0
5.10.0-60.5.0
5.10.0-60.4.0
5.10.0-63.0.0
5.10.0-60.3.0
4.19.90-2203.2.0
5.10.0-60.2.0
5.10.0-62.0.0
5.10.0-61.0.0
5.10.0-60.1.0
5.10.0-60.0.0
4.19.90-2203.1.0
5.10.0-59.0.0
5.10.0-58.0.0
5.10.0-57.0.0
4.19.90-2202.4.0
5.10.0-56.0.0
4.19.90-2202.3.0
5.10.0-55.0.0
5.10.0-54.0.0
4.19.90-2202.2.0
4.19.90-2202.1.0
5.10.0-53.0.0
5.10.0-52.0.0
5.10.0-51.0.0
5.10.0-50.0.0
5.10.0-49.0.0
5.10.0-48.0.0
5.10.0-47.0.0
5.10.0-46.0.0
5.10.0-45.0.0
4.19.90-2201.4.0
5.10.0-44.0.0
5.10.0-43.0.0
5.10.0-42.0.0
4.19.90-2201.3.0
5.10.0-41.0.0
5.10.0-40.0.0
5.10.0-39.0.0
4.19.90-2201.2.0
5.10.0-38.0.0
5.10.0-37.0.0
5.10.0-36.0.0
5.10.0-35.0.0
5.10.0-34.0.0
5.10.0-33.0.0
4.19.90-2201.1.0
5.10.0-32.0.0
5.10.0-31.0.0
5.10.0-30.0.0
4.19.90-2112.8.0
4.19.90-2112.7.0
5.10.0-29.0.0
4.19.90-2112.6.0
5.10.0-28.0.0
5.10.0-27.0.0
4.19.90-2112.5.0
4.19.90-2112.4.0
4.19.90-2112.3.0
5.10.0-26.0.0
4.19.90-2112.2.0
4.19.90-2112.1.0
5.10.0-25.0.0
5.10.0-24.0.0
5.10.0-23.0.0
4.19.90-2111.7.0
5.10.0-22.0.0
5.10.0-21.0.0
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v2.6.21-rc5
v2.6.21-rc4
v2.6.21-rc3
v2.6.21-rc2
v2.6.21-rc1
v2.6.20
v2.6.20-rc7
v2.6.20-rc6
v2.6.20-rc5
v2.6.20-rc4
v2.6.20-rc3
v2.6.20-rc2
v2.6.20-rc1
v2.6.19
v2.6.19-rc6
v2.6.19-rc5
v2.6.19-rc4
v2.6.19-rc3
v2.6.19-rc2
v2.6.19-rc1
v2.6.18
v2.6.18-rc7
v2.6.18-rc6
v2.6.18-rc5
v2.6.18-rc4
v2.6.18-rc3
v2.6.18-rc2
v2.6.18-rc1
v2.6.17
v2.6.17-rc6
v2.6.17-rc5
v2.6.17-rc4
v2.6.17-rc3
v2.6.17-rc2
v2.6.17-rc1
v2.6.16
v2.6.16-rc6
v2.6.16-rc5
v2.6.16-rc4
v2.6.16-rc3
v2.6.16-rc2
v2.6.16-rc1
v2.6.15
v2.6.15-rc7
v2.6.15-rc6
v2.6.15-rc5
v2.6.15-rc4
v2.6.15-rc3
v2.6.15-rc2
v2.6.15-rc1
v2.6.14
v2.6.14-rc5
v2.6.14-rc4
v2.6.14-rc3
v2.6.14-rc2
v2.6.14-rc1
v2.6.13
v2.6.13-rc7
v2.6.13-rc6
v2.6.13-rc5
v2.6.13-rc4
v2.6.11
v2.6.11-tree
v2.6.12
v2.6.12-rc2
v2.6.12-rc3
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v2.6.12-rc5
v2.6.12-rc6
v2.6.13-rc1
v2.6.13-rc2
v2.6.13-rc3
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1
https://gitee.com/openeuler/kernel.git
git@gitee.com:openeuler/kernel.git
openeuler
kernel
kernel
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