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debiancveDebian Security Bug TrackerDEBIANCVE:CVE-2021-47044
HistoryFeb 28, 2024 - 9:15 a.m.

CVE-2021-47044

2024-02-2809:15:40
Debian Security Bug Tracker
security-tracker.debian.org
9
linux kernel
load_balance function
vulnerability
security risk
shift-out-of-bounds
sched/fair
active balance
syzbot
cve-2021-47044
unix

6.5 Medium

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

15.7%

In the Linux kernel, the following vulnerability has been resolved: sched/fair: Fix shift-out-of-bounds in load_balance() Syzbot reported a handful of occurrences where an sd->nr_balance_failed can grow to much higher values than one would expect. A successful load_balance() resets it to 0; a failed one increments it. Once it gets to sd->cache_nice_tries + 3, this should trigger an active balance, which will either set it to sd->cache_nice_tries+1 or reset it to 0. However, in case the to-be-active-balanced task is not allowed to run on env->dst_cpu, then the increment is done without any further modification. This could then be repeated ad nauseam, and would explain the absurdly high values reported by syzbot (86, 149). VincentG noted there is value in letting sd->cache_nice_tries grow, so the shift itself should be fixed. That means preventing: “”" If the value of the right operand is negative or is greater than or equal to the width of the promoted left operand, the behavior is undefined. “”" Thus we need to cap the shift exponent to BITS_PER_TYPE(typeof(lefthand)) - 1. I had a look around for other similar cases via coccinelle: @expr@ position pos; expression E1; expression E2; @@ ( E1 >> E2@pos | E1 >> E2@pos ) @cst depends on expr@ position pos; expression expr.E1; constant cst; @@ ( E1 >> cst@pos | E1 << cst@pos ) @script:python depends on !cst@ pos << expr.pos; exp << expr.E2; @@ # Dirty hack to ignore constexpr if exp.upper() != exp: coccilib.report.print_report(pos[0], “Possible UB shift here”) The only other match in kernel/sched is rq_clock_thermal() which employs sched_thermal_decay_shift, and that exponent is already capped to 10, so that one is fine.

6.5 Medium

AI Score

Confidence

High

0.0004 Low

EPSS

Percentile

15.7%