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CVE-2026-43435

Опубликовано: 08 мая 2026
Источник: debian
EPSS Низкий

Описание

In the Linux kernel, the following vulnerability has been resolved: rust_binder: fix oneway spam detection The spam detection logic in TreeRange was executed before the current request was inserted into the tree. So the new request was not being factored in the spam calculation. Fix this by moving the logic after the new range has been inserted. Also, the detection logic for ArrayRange was missing altogether which meant large spamming transactions could get away without being detected. Fix this by implementing an equivalent low_oneway_space() in ArrayRange. Note that I looked into centralizing this logic in RangeAllocator but iterating through 'state' and 'size' got a bit too complicated (for me) and I abandoned this effort.

Пакеты

ПакетСтатусВерсия исправленияРелизТип
linuxfixed6.19.10-1package
linuxnot-affectedtrixiepackage
linuxnot-affectedbookwormpackage
linuxnot-affectedbullseyepackage

Примечания

  • https://git.kernel.org/linus/4fc87c240b8f30e22b7ebaae29d57105589e1c0b (7.0-rc4)

EPSS

Процентиль: 2%
0.00121
Низкий

Связанные уязвимости

CVSS3: 5.5
ubuntu
3 месяца назад

In the Linux kernel, the following vulnerability has been resolved: rust_binder: fix oneway spam detection The spam detection logic in TreeRange was executed before the current request was inserted into the tree. So the new request was not being factored in the spam calculation. Fix this by moving the logic after the new range has been inserted. Also, the detection logic for ArrayRange was missing altogether which meant large spamming transactions could get away without being detected. Fix this by implementing an equivalent low_oneway_space() in ArrayRange. Note that I looked into centralizing this logic in RangeAllocator but iterating through 'state' and 'size' got a bit too complicated (for me) and I abandoned this effort.

redhat
3 месяца назад

In the Linux kernel, the following vulnerability has been resolved: rust_binder: fix oneway spam detection The spam detection logic in TreeRange was executed before the current request was inserted into the tree. So the new request was not being factored in the spam calculation. Fix this by moving the logic after the new range has been inserted. Also, the detection logic for ArrayRange was missing altogether which meant large spamming transactions could get away without being detected. Fix this by implementing an equivalent low_oneway_space() in ArrayRange. Note that I looked into centralizing this logic in RangeAllocator but iterating through 'state' and 'size' got a bit too complicated (for me) and I abandoned this effort.

CVSS3: 5.5
nvd
3 месяца назад

In the Linux kernel, the following vulnerability has been resolved: rust_binder: fix oneway spam detection The spam detection logic in TreeRange was executed before the current request was inserted into the tree. So the new request was not being factored in the spam calculation. Fix this by moving the logic after the new range has been inserted. Also, the detection logic for ArrayRange was missing altogether which meant large spamming transactions could get away without being detected. Fix this by implementing an equivalent low_oneway_space() in ArrayRange. Note that I looked into centralizing this logic in RangeAllocator but iterating through 'state' and 'size' got a bit too complicated (for me) and I abandoned this effort.

github
3 месяца назад

In the Linux kernel, the following vulnerability has been resolved: rust_binder: fix oneway spam detection The spam detection logic in TreeRange was executed before the current request was inserted into the tree. So the new request was not being factored in the spam calculation. Fix this by moving the logic after the new range has been inserted. Also, the detection logic for ArrayRange was missing altogether which meant large spamming transactions could get away without being detected. Fix this by implementing an equivalent low_oneway_space() in ArrayRange. Note that I looked into centralizing this logic in RangeAllocator but iterating through 'state' and 'size' got a bit too complicated (for me) and I abandoned this effort.

EPSS

Процентиль: 2%
0.00121
Низкий