CWE-770
AllowedAllocation of Resources Without Limits or Throttling
Abstraction: Base · Status: Incomplete
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.
3013 vulnerabilities reference this CWE, most recent first.
GHSA-7FQR-W76Q-379J
Vulnerability from github – Published: 2023-07-06 19:24 – Updated: 2024-04-04 05:34Any request send to a Netgear Nighthawk Wifi6 Router (RAX30)'s web service containing a “Content-Type” of “multipartboundary=” will result in the request body being written to “/tmp/mulipartFile” on the device itself. A sufficiently large file will cause device resources to be exhausted, resulting in the device becoming unusable until it is rebooted.
{
"affected": [],
"aliases": [
"CVE-2023-28338"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-03-15T23:15:00Z",
"severity": "HIGH"
},
"details": "Any request send to a Netgear Nighthawk Wifi6 Router (RAX30)\u0027s web service containing a \u201cContent-Type\u201d of \u201cmultipartboundary=\u201d will result in the request body being written to \u201c/tmp/mulipartFile\u201d on the device itself. A sufficiently large file will cause device resources to be exhausted, resulting in the device becoming unusable until it is rebooted.",
"id": "GHSA-7fqr-w76q-379j",
"modified": "2024-04-04T05:34:26Z",
"published": "2023-07-06T19:24:11Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-28338"
},
{
"type": "WEB",
"url": "https://drupal9.tenable.com/security/research/tra-2023-12"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-7FWV-6GMP-M9X7
Vulnerability from github – Published: 2022-05-13 01:22 – Updated: 2022-05-13 01:22wasm::WasmBinaryBuilder::readUserSection in wasm-binary.cpp in Binaryen 1.38.22 triggers an attempt at excessive memory allocation, as demonstrated by wasm-merge and wasm-opt.
{
"affected": [],
"aliases": [
"CVE-2019-7704"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2019-02-10T22:29:00Z",
"severity": "MODERATE"
},
"details": "wasm::WasmBinaryBuilder::readUserSection in wasm-binary.cpp in Binaryen 1.38.22 triggers an attempt at excessive memory allocation, as demonstrated by wasm-merge and wasm-opt.",
"id": "GHSA-7fwv-6gmp-m9x7",
"modified": "2022-05-13T01:22:53Z",
"published": "2022-05-13T01:22:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2019-7704"
},
{
"type": "WEB",
"url": "https://github.com/WebAssembly/binaryen/issues/1866"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-7G34-WCPJ-VF55
Vulnerability from github – Published: 2024-09-11 18:31 – Updated: 2024-09-13 18:31In the Linux kernel, the following vulnerability has been resolved:
nouveau/firmware: use dma non-coherent allocator
Currently, enabling SG_DEBUG in the kernel will cause nouveau to hit a BUG() on startup, when the iommu is enabled:
kernel BUG at include/linux/scatterlist.h:187! invalid opcode: 0000 [#1] PREEMPT SMP NOPTI CPU: 7 PID: 930 Comm: (udev-worker) Not tainted 6.9.0-rc3Lyude-Test+ #30 Hardware name: MSI MS-7A39/A320M GAMING PRO (MS-7A39), BIOS 1.I0 01/22/2019 RIP: 0010:sg_init_one+0x85/0xa0 Code: 69 88 32 01 83 e1 03 f6 c3 03 75 20 a8 01 75 1e 48 09 cb 41 89 54 24 08 49 89 1c 24 41 89 6c 24 0c 5b 5d 41 5c e9 7b b9 88 00 <0f> 0b 0f 0b 0f 0b 48 8b 05 5e 46 9a 01 eb b2 66 66 2e 0f 1f 84 00 RSP: 0018:ffffa776017bf6a0 EFLAGS: 00010246 RAX: 0000000000000000 RBX: ffffa77600d87000 RCX: 000000000000002b RDX: 0000000000000001 RSI: 0000000000000000 RDI: ffffa77680d87000 RBP: 000000000000e000 R08: 0000000000000000 R09: 0000000000000000 R10: ffff98f4c46aa508 R11: 0000000000000000 R12: ffff98f4c46aa508 R13: ffff98f4c46aa008 R14: ffffa77600d4a000 R15: ffffa77600d4a018 FS: 00007feeb5aae980(0000) GS:ffff98f5c4dc0000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007f22cb9a4520 CR3: 00000001043ba000 CR4: 00000000003506f0 Call Trace: ? die+0x36/0x90 ? do_trap+0xdd/0x100 ? sg_init_one+0x85/0xa0 ? do_error_trap+0x65/0x80 ? sg_init_one+0x85/0xa0 ? exc_invalid_op+0x50/0x70 ? sg_init_one+0x85/0xa0 ? asm_exc_invalid_op+0x1a/0x20 ? sg_init_one+0x85/0xa0 nvkm_firmware_ctor+0x14a/0x250 [nouveau] nvkm_falcon_fw_ctor+0x42/0x70 [nouveau] ga102_gsp_booter_ctor+0xb4/0x1a0 [nouveau] r535_gsp_oneinit+0xb3/0x15f0 [nouveau] ? srso_return_thunk+0x5/0x5f ? srso_return_thunk+0x5/0x5f ? nvkm_udevice_new+0x95/0x140 [nouveau] ? srso_return_thunk+0x5/0x5f ? srso_return_thunk+0x5/0x5f ? ktime_get+0x47/0xb0
Fix this by using the non-coherent allocator instead, I think there might be a better answer to this, but it involve ripping up some of APIs using sg lists.
{
"affected": [],
"aliases": [
"CVE-2024-45012"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-09-11T16:15:06Z",
"severity": "MODERATE"
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nnouveau/firmware: use dma non-coherent allocator\n\nCurrently, enabling SG_DEBUG in the kernel will cause nouveau to hit a\nBUG() on startup, when the iommu is enabled:\n\nkernel BUG at include/linux/scatterlist.h:187!\ninvalid opcode: 0000 [#1] PREEMPT SMP NOPTI\nCPU: 7 PID: 930 Comm: (udev-worker) Not tainted 6.9.0-rc3Lyude-Test+ #30\nHardware name: MSI MS-7A39/A320M GAMING PRO (MS-7A39), BIOS 1.I0 01/22/2019\nRIP: 0010:sg_init_one+0x85/0xa0\nCode: 69 88 32 01 83 e1 03 f6 c3 03 75 20 a8 01 75 1e 48 09 cb 41 89 54\n24 08 49 89 1c 24 41 89 6c 24 0c 5b 5d 41 5c e9 7b b9 88 00 \u003c0f\u003e 0b 0f 0b\n0f 0b 48 8b 05 5e 46 9a 01 eb b2 66 66 2e 0f 1f 84 00\nRSP: 0018:ffffa776017bf6a0 EFLAGS: 00010246\nRAX: 0000000000000000 RBX: ffffa77600d87000 RCX: 000000000000002b\nRDX: 0000000000000001 RSI: 0000000000000000 RDI: ffffa77680d87000\nRBP: 000000000000e000 R08: 0000000000000000 R09: 0000000000000000\nR10: ffff98f4c46aa508 R11: 0000000000000000 R12: ffff98f4c46aa508\nR13: ffff98f4c46aa008 R14: ffffa77600d4a000 R15: ffffa77600d4a018\nFS: 00007feeb5aae980(0000) GS:ffff98f5c4dc0000(0000) knlGS:0000000000000000\nCS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033\nCR2: 00007f22cb9a4520 CR3: 00000001043ba000 CR4: 00000000003506f0\nCall Trace:\n \u003cTASK\u003e\n ? die+0x36/0x90\n ? do_trap+0xdd/0x100\n ? sg_init_one+0x85/0xa0\n ? do_error_trap+0x65/0x80\n ? sg_init_one+0x85/0xa0\n ? exc_invalid_op+0x50/0x70\n ? sg_init_one+0x85/0xa0\n ? asm_exc_invalid_op+0x1a/0x20\n ? sg_init_one+0x85/0xa0\n nvkm_firmware_ctor+0x14a/0x250 [nouveau]\n nvkm_falcon_fw_ctor+0x42/0x70 [nouveau]\n ga102_gsp_booter_ctor+0xb4/0x1a0 [nouveau]\n r535_gsp_oneinit+0xb3/0x15f0 [nouveau]\n ? srso_return_thunk+0x5/0x5f\n ? srso_return_thunk+0x5/0x5f\n ? nvkm_udevice_new+0x95/0x140 [nouveau]\n ? srso_return_thunk+0x5/0x5f\n ? srso_return_thunk+0x5/0x5f\n ? ktime_get+0x47/0xb0\n\nFix this by using the non-coherent allocator instead, I think there\nmight be a better answer to this, but it involve ripping up some of\nAPIs using sg lists.",
"id": "GHSA-7g34-wcpj-vf55",
"modified": "2024-09-13T18:31:43Z",
"published": "2024-09-11T18:31:05Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-45012"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/57ca481fca97ca4553e8c85d6a94baf4cb40c40e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/9b340aeb26d50e9a9ec99599e2a39b035fac978e"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/cc29c5546c6a373648363ac49781f1d74b530707"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-7G3R-8C6V-HFMR
Vulnerability from github – Published: 2025-10-28 21:30 – Updated: 2025-11-05 22:12Consul and Consul Enterprise’s (“Consul”) key/value endpoint is vulnerable to denial of service (DoS) due to incorrect Content Length header validation. This vulnerability, CVE-2025-11374, is fixed in Consul Community Edition 1.22.0 and Consul Enterprise 1.22.0, 1.21.6, 1.20.8 and 1.18.12.
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "github.com/hashicorp/consul"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.22.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-11374"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2025-10-29T15:40:04Z",
"nvd_published_at": "2025-10-28T21:15:37Z",
"severity": "MODERATE"
},
"details": "Consul and Consul Enterprise\u2019s (\u201cConsul\u201d) key/value endpoint is vulnerable to denial of service (DoS) due to incorrect Content Length header validation. This vulnerability, CVE-2025-11374, is fixed in Consul Community Edition 1.22.0 and Consul Enterprise 1.22.0, 1.21.6, 1.20.8 and 1.18.12.",
"id": "GHSA-7g3r-8c6v-hfmr",
"modified": "2025-11-05T22:12:03Z",
"published": "2025-10-28T21:30:33Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-11374"
},
{
"type": "WEB",
"url": "https://github.com/hashicorp/consul/pull/22916"
},
{
"type": "WEB",
"url": "https://github.com/hashicorp/consul/commit/72a358cd02533477536ad4bd2b781f520fa7fac6"
},
{
"type": "WEB",
"url": "https://discuss.hashicorp.com/t/hcsec-2025-29-consuls-kv-endpoint-is-vulnerable-to-denial-of-service/76724"
},
{
"type": "PACKAGE",
"url": "https://github.com/hashicorp/consul"
},
{
"type": "WEB",
"url": "https://github.com/hashicorp/consul/releases/tag/v1.22.0"
},
{
"type": "WEB",
"url": "https://pkg.go.dev/vuln/GO-2025-4081"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Consul key/value endpoint is vulnerable to denial of service"
}
GHSA-7G5Q-3GQM-27GQ
Vulnerability from github – Published: 2023-10-09 06:30 – Updated: 2024-04-04 08:25An issue was discovered in the Wikibase extension for MediaWiki before 1.35.12, 1.36.x through 1.39.x before 1.39.5, and 1.40.x before 1.40.1. There is no rate limit for merging items.
{
"affected": [],
"aliases": [
"CVE-2023-45371"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2023-10-09T06:15:10Z",
"severity": "HIGH"
},
"details": "An issue was discovered in the Wikibase extension for MediaWiki before 1.35.12, 1.36.x through 1.39.x before 1.39.5, and 1.40.x before 1.40.1. There is no rate limit for merging items.",
"id": "GHSA-7g5q-3gqm-27gq",
"modified": "2024-04-04T08:25:34Z",
"published": "2023-10-09T06:30:19Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-45371"
},
{
"type": "WEB",
"url": "https://gerrit.wikimedia.org/r/c/mediawiki/extensions/Wikibase/+/961264"
},
{
"type": "WEB",
"url": "https://phabricator.wikimedia.org/T345064"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-7GRF-83VW-6F5X
Vulnerability from github – Published: 2022-08-14 00:23 – Updated: 2022-08-14 00:23Impact
The target contract of an EIP-165 supportsInterface query can cause unbounded gas consumption by returning a lot of data, while it is generally assumed that this operation has a bounded cost.
Patches
The issue has been fixed in v4.7.2.
References
https://github.com/OpenZeppelin/openzeppelin-contracts/pull/3587
For more information
If you have any questions or comments about this advisory, or need assistance deploying a fix, email us at security@openzeppelin.com.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "@openzeppelin/contracts"
},
"ranges": [
{
"events": [
{
"introduced": "2.0.0"
},
{
"fixed": "4.7.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "npm",
"name": "openzeppelin-solidity"
},
"ranges": [
{
"events": [
{
"introduced": "2.0.0"
},
{
"last_affected": "4.6.0"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "npm",
"name": "@openzeppelin/contracts-upgradeable"
},
"ranges": [
{
"events": [
{
"introduced": "3.2.0"
},
{
"fixed": "4.7.2"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "npm",
"name": "openzeppelin-eth"
},
"ranges": [
{
"events": [
{
"introduced": "2.0.0"
},
{
"last_affected": "2.2.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-35915"
],
"database_specific": {
"cwe_ids": [
"CWE-400",
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2022-08-14T00:23:34Z",
"nvd_published_at": "2022-08-01T21:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\n\nThe target contract of an EIP-165 `supportsInterface` query can cause unbounded gas consumption by returning a lot of data, while it is generally assumed that this operation has a bounded cost.\n\n### Patches\n\nThe issue has been fixed in v4.7.2.\n\n### References\n\nhttps://github.com/OpenZeppelin/openzeppelin-contracts/pull/3587\n\n### For more information\n\nIf you have any questions or comments about this advisory, or need assistance deploying a fix, email us at [security@openzeppelin.com](mailto:security@openzeppelin.com).",
"id": "GHSA-7grf-83vw-6f5x",
"modified": "2022-08-14T00:23:34Z",
"published": "2022-08-14T00:23:34Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/OpenZeppelin/openzeppelin-contracts/security/advisories/GHSA-7grf-83vw-6f5x"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-35915"
},
{
"type": "WEB",
"url": "https://github.com/OpenZeppelin/openzeppelin-contracts/pull/3587"
},
{
"type": "PACKAGE",
"url": "https://github.com/OpenZeppelin/openzeppelin-contracts"
},
{
"type": "WEB",
"url": "https://github.com/OpenZeppelin/openzeppelin-contracts/releases/tag/v4.7.2"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
],
"summary": "OpenZeppelin Contracts ERC165Checker unbounded gas consumption"
}
GHSA-7H3F-P2XX-RHQQ
Vulnerability from github – Published: 2024-08-16 15:31 – Updated: 2024-08-16 15:31A denial-of-service vulnerability was reported in some Lenovo printers that could allow an unauthenticated attacker on a shared network to prevent printer services from being reachable until the system is rebooted.
{
"affected": [],
"aliases": [
"CVE-2024-5210"
],
"database_specific": {
"cwe_ids": [
"CWE-400",
"CWE-770"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-08-16T15:15:31Z",
"severity": "MODERATE"
},
"details": "A denial-of-service vulnerability was reported in some Lenovo printers that could allow an unauthenticated attacker on a shared network to prevent printer services from being reachable until the system is rebooted.",
"id": "GHSA-7h3f-p2xx-rhqq",
"modified": "2024-08-16T15:31:42Z",
"published": "2024-08-16T15:31:42Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-5210"
},
{
"type": "WEB",
"url": "https://iknow.lenovo.com.cn/detail/422688"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-7HFP-QFW3-5JXH
Vulnerability from github – Published: 2022-08-30 20:52 – Updated: 2023-08-30 18:43Fuzz testing, by Ada Logics and sponsored by the CNCF, identified input to functions in the _strvals_ package that can cause an out of memory panic. Out of memory panics cannot be recovered from. Applications that use functions from the _strvals_ package in the Helm SDK can have a Denial of Service attack when they use this package and it panics.
Impact
The _strvals_ package contains a parser that turns strings into Go structures. For example, the Helm client has command line flags like --set, --set-string, and others that enable the user to pass in strings that are merged into the values. The _strvals_ package converts these strings into structures Go can work with. Some string inputs can cause array data structures to be created causing an out of memory panic.
Applications that use the _strvals_ package in the Helm SDK to parse user supplied input can suffer a Denial of Service when that input causes a panic that cannot be recovered from.
The Helm Client will panic with input to --set, --set-string, and other value setting flags that causes an out of memory panic. Helm is not a long running service so the panic will not affect future uses of the Helm client.
Patches
This issue has been resolved in 3.9.4.
Workarounds
SDK users can validate strings supplied by users won't create large arrays causing significant memory usage before passing them to the _strvals_ functions.
For more information
Helm's security policy is spelled out in detail in our SECURITY document.
Credits
Disclosed by Ada Logics in a fuzzing audit sponsored by CNCF.
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "helm.sh/helm/v3"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "3.9.4"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-36055"
],
"database_specific": {
"cwe_ids": [
"CWE-400",
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2022-08-30T20:52:31Z",
"nvd_published_at": "2022-09-01T13:15:00Z",
"severity": "MODERATE"
},
"details": "Fuzz testing, by Ada Logics and sponsored by the CNCF, identified input to functions in the `_strvals_` package that can cause an out of memory panic. Out of memory panics cannot be recovered from. Applications that use functions from the `_strvals_` package in the Helm SDK can have a Denial of Service attack when they use this package and it panics.\n\n### Impact\n\nThe `_strvals_` package contains a parser that turns strings into Go structures. For example, the Helm client has command line flags like `--set`, `--set-string`, and others that enable the user to pass in strings that are merged into the values. The `_strvals_` package converts these strings into structures Go can work with. Some string inputs can cause array data structures to be created causing an out of memory panic.\n\nApplications that use the `_strvals_` package in the Helm SDK to parse user supplied input can suffer a Denial of Service when that input causes a panic that cannot be recovered from.\n\nThe Helm Client will panic with input to `--set`, `--set-string`, and other value setting flags that causes an out of memory panic. Helm is not a long running service so the panic will not affect future uses of the Helm client.\n\n### Patches\n\nThis issue has been resolved in 3.9.4. \n\n### Workarounds\n\nSDK users can validate strings supplied by users won\u0027t create large arrays causing significant memory usage before passing them to the `_strvals_` functions.\n\n### For more information\n\nHelm\u0027s security policy is spelled out in detail in our [SECURITY](https://github.com/helm/community/blob/master/SECURITY.md) document.\n\n### Credits\n\nDisclosed by Ada Logics in a fuzzing audit sponsored by CNCF.",
"id": "GHSA-7hfp-qfw3-5jxh",
"modified": "2023-08-30T18:43:09Z",
"published": "2022-08-30T20:52:31Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/helm/helm/security/advisories/GHSA-7hfp-qfw3-5jxh"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-36055"
},
{
"type": "WEB",
"url": "https://github.com/helm/helm/commit/10466e3e179cc8cad4b0bb451108d3c442c69fbc"
},
{
"type": "PACKAGE",
"url": "https://github.com/helm/helm"
},
{
"type": "WEB",
"url": "https://github.com/helm/helm/releases/tag/v3.9.4"
},
{
"type": "WEB",
"url": "https://pkg.go.dev/vuln/GO-2022-0962"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "Helm Vulnerable to denial of service through string value parsing"
}
GHSA-7HFW-26VP-JP8M
Vulnerability from github – Published: 2025-08-13 19:51 – Updated: 2025-08-14 13:31Impact
An attacker who uses this vulnerability can craft a PDF which leads to the RAM being exhausted. This requires just reading the file if a series of FlateDecode filters is used on a malicious cross-reference stream. Other content streams are affected on explicit access.
Patches
This has been fixed in pypdf==6.0.0.
Workarounds
If you cannot upgrade yet, you might want to implement the workaround for pypdf.filters.decompress yourself: https://github.com/py-pdf/pypdf/blob/0dd57738bbdcdb63f0fb43d8a6b3d222b6946595/pypdf/filters.py#L72-L143
References
This issue has been reported in #3429 and fixed in #3430.
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "pypdf"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "6.0.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2025-55197"
],
"database_specific": {
"cwe_ids": [
"CWE-400",
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2025-08-13T19:51:24Z",
"nvd_published_at": "2025-08-13T23:15:27Z",
"severity": "MODERATE"
},
"details": "### Impact\nAn attacker who uses this vulnerability can craft a PDF which leads to the RAM being exhausted. This requires just reading the file if a series of FlateDecode filters is used on a malicious cross-reference stream. Other content streams are affected on explicit access.\n\n### Patches\nThis has been fixed in [pypdf==6.0.0](https://github.com/py-pdf/pypdf/releases/tag/6.0.0).\n\n### Workarounds\nIf you cannot upgrade yet, you might want to implement the workaround for `pypdf.filters.decompress` yourself: https://github.com/py-pdf/pypdf/blob/0dd57738bbdcdb63f0fb43d8a6b3d222b6946595/pypdf/filters.py#L72-L143\n\n### References\nThis issue has been reported in #3429 and fixed in #3430.",
"id": "GHSA-7hfw-26vp-jp8m",
"modified": "2025-08-14T13:31:08Z",
"published": "2025-08-13T19:51:24Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/security/advisories/GHSA-7hfw-26vp-jp8m"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-55197"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/issues/3429"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/pull/3430"
},
{
"type": "PACKAGE",
"url": "https://github.com/py-pdf/pypdf"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/blob/0dd57738bbdcdb63f0fb43d8a6b3d222b6946595/pypdf/filters.py#L72-L143"
},
{
"type": "WEB",
"url": "https://github.com/py-pdf/pypdf/releases/tag/6.0.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U",
"type": "CVSS_V4"
}
],
"summary": "PyPDF\u0027s Manipulated FlateDecode streams can exhaust RAM"
}
GHSA-7HX3-PW88-4928
Vulnerability from github – Published: 2025-01-28 00:32 – Updated: 2026-04-02 21:32The issue was addressed with improved checks. This issue is fixed in iPadOS 17.7.4, macOS Sonoma 14.7.3, visionOS 2.3, iOS 18.3 and iPadOS 18.3, macOS Sequoia 15.3, watchOS 11.3, tvOS 18.3. Parsing a file may lead to an unexpected app termination.
{
"affected": [],
"aliases": [
"CVE-2025-24163"
],
"database_specific": {
"cwe_ids": [
"CWE-770"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-01-27T22:15:20Z",
"severity": "CRITICAL"
},
"details": "The issue was addressed with improved checks. This issue is fixed in iPadOS 17.7.4, macOS Sonoma 14.7.3, visionOS 2.3, iOS 18.3 and iPadOS 18.3, macOS Sequoia 15.3, watchOS 11.3, tvOS 18.3. Parsing a file may lead to an unexpected app termination.",
"id": "GHSA-7hx3-pw88-4928",
"modified": "2026-04-02T21:32:10Z",
"published": "2025-01-28T00:32:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-24163"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122066"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122067"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122068"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122069"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122071"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122072"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122073"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122371"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122373"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122376"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122377"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/122378"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Apr/11"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Apr/12"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Apr/13"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Apr/4"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Apr/8"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Jan/13"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Jan/15"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Jan/16"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Jan/18"
},
{
"type": "WEB",
"url": "http://seclists.org/fulldisclosure/2025/Jan/19"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Mitigation
Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits.
Mitigation
Limit the amount of resources that are accessible to unprivileged users. Set per-user limits for resources. Allow the system administrator to define these limits. Be careful to avoid CWE-410.
Mitigation
Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place, and it will help the administrator to identify who is committing the abuse. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
Mitigation MIT-5
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
Mitigation MIT-15
For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Mitigation
- Mitigation of resource exhaustion attacks requires that the target system either:
- The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question.
- The second solution can be difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply requires more resources on the part of the attacker.
- recognizes the attack and denies that user further access for a given amount of time, typically by using increasing time delays
- uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed.
Mitigation
Ensure that protocols have specific limits of scale placed on them.
Mitigation MIT-38.1
- If the program must fail, ensure that it fails gracefully (fails closed). There may be a temptation to simply let the program fail poorly in cases such as low memory conditions, but an attacker may be able to assert control before the software has fully exited. Alternately, an uncontrolled failure could cause cascading problems with other downstream components; for example, the program could send a signal to a downstream process so the process immediately knows that a problem has occurred and has a better chance of recovery.
- Ensure that all failures in resource allocation place the system into a safe posture.
Mitigation MIT-47
Strategy: Resource Limitation
- Use quotas or other resource-limiting settings provided by the operating system or environment. For example, when managing system resources in POSIX, setrlimit() can be used to set limits for certain types of resources, and getrlimit() can determine how many resources are available. However, these functions are not available on all operating systems.
- When the current levels get close to the maximum that is defined for the application (see CWE-770), then limit the allocation of further resources to privileged users; alternately, begin releasing resources for less-privileged users. While this mitigation may protect the system from attack, it will not necessarily stop attackers from adversely impacting other users.
- Ensure that the application performs the appropriate error checks and error handling in case resources become unavailable (CWE-703).
CAPEC-125: Flooding
An adversary consumes the resources of a target by rapidly engaging in a large number of interactions with the target. This type of attack generally exposes a weakness in rate limiting or flow. When successful this attack prevents legitimate users from accessing the service and can cause the target to crash. This attack differs from resource depletion through leaks or allocations in that the latter attacks do not rely on the volume of requests made to the target but instead focus on manipulation of the target's operations. The key factor in a flooding attack is the number of requests the adversary can make in a given period of time. The greater this number, the more likely an attack is to succeed against a given target.
CAPEC-130: Excessive Allocation
An adversary causes the target to allocate excessive resources to servicing the attackers' request, thereby reducing the resources available for legitimate services and degrading or denying services. Usually, this attack focuses on memory allocation, but any finite resource on the target could be the attacked, including bandwidth, processing cycles, or other resources. This attack does not attempt to force this allocation through a large number of requests (that would be Resource Depletion through Flooding) but instead uses one or a small number of requests that are carefully formatted to force the target to allocate excessive resources to service this request(s). Often this attack takes advantage of a bug in the target to cause the target to allocate resources vastly beyond what would be needed for a normal request.
CAPEC-147: XML Ping of the Death
An attacker initiates a resource depletion attack where a large number of small XML messages are delivered at a sufficiently rapid rate to cause a denial of service or crash of the target. Transactions such as repetitive SOAP transactions can deplete resources faster than a simple flooding attack because of the additional resources used by the SOAP protocol and the resources necessary to process SOAP messages. The transactions used are immaterial as long as they cause resource utilization on the target. In other words, this is a normal flooding attack augmented by using messages that will require extra processing on the target.
CAPEC-197: Exponential Data Expansion
An adversary submits data to a target application which contains nested exponential data expansion to produce excessively large output. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. However, this capability can be abused to create excessive demands on a processor's CPU and memory. A small number of nested expansions can result in an exponential growth in demands on memory.
CAPEC-229: Serialized Data Parameter Blowup
This attack exploits certain serialized data parsers (e.g., XML, YAML, etc.) which manage data in an inefficient manner. The attacker crafts an serialized data file with multiple configuration parameters in the same dataset. In a vulnerable parser, this results in a denial of service condition where CPU resources are exhausted because of the parsing algorithm. The weakness being exploited is tied to parser implementation and not language specific.
CAPEC-230: Serialized Data with Nested Payloads
Applications often need to transform data in and out of a data format (e.g., XML and YAML) by using a parser. It may be possible for an adversary to inject data that may have an adverse effect on the parser when it is being processed. Many data format languages allow the definition of macro-like structures that can be used to simplify the creation of complex structures. By nesting these structures, causing the data to be repeatedly substituted, an adversary can cause the parser to consume more resources while processing, causing excessive memory consumption and CPU utilization.
CAPEC-231: Oversized Serialized Data Payloads
An adversary injects oversized serialized data payloads into a parser during data processing to produce adverse effects upon the parser such as exhausting system resources and arbitrary code execution.
CAPEC-469: HTTP DoS
An attacker performs flooding at the HTTP level to bring down only a particular web application rather than anything listening on a TCP/IP connection. This denial of service attack requires substantially fewer packets to be sent which makes DoS harder to detect. This is an equivalent of SYN flood in HTTP. The idea is to keep the HTTP session alive indefinitely and then repeat that hundreds of times. This attack targets resource depletion weaknesses in web server software. The web server will wait to attacker's responses on the initiated HTTP sessions while the connection threads are being exhausted.
CAPEC-482: TCP Flood
An adversary may execute a flooding attack using the TCP protocol with the intent to deny legitimate users access to a service. These attacks exploit the weakness within the TCP protocol where there is some state information for the connection the server needs to maintain. This often involves the use of TCP SYN messages.
CAPEC-486: UDP Flood
An adversary may execute a flooding attack using the UDP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. Additionally, firewalls often open a port for each UDP connection destined for a service with an open UDP port, meaning the firewalls in essence save the connection state thus the high packet nature of a UDP flood can also overwhelm resources allocated to the firewall. UDP attacks can also target services like DNS or VoIP which utilize these protocols. Additionally, due to the session-less nature of the UDP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.
CAPEC-487: ICMP Flood
An adversary may execute a flooding attack using the ICMP protocol with the intent to deny legitimate users access to a service by consuming the available network bandwidth. A typical attack involves a victim server receiving ICMP packets at a high rate from a wide range of source addresses. Additionally, due to the session-less nature of the ICMP protocol, the source of a packet is easily spoofed making it difficult to find the source of the attack.
CAPEC-488: HTTP Flood
An adversary may execute a flooding attack using the HTTP protocol with the intent to deny legitimate users access to a service by consuming resources at the application layer such as web services and their infrastructure. These attacks use legitimate session-based HTTP GET requests designed to consume large amounts of a server's resources. Since these are legitimate sessions this attack is very difficult to detect.
CAPEC-489: SSL Flood
An adversary may execute a flooding attack using the SSL protocol with the intent to deny legitimate users access to a service by consuming all the available resources on the server side. These attacks take advantage of the asymmetric relationship between the processing power used by the client and the processing power used by the server to create a secure connection. In this manner the attacker can make a large number of HTTPS requests on a low provisioned machine to tie up a disproportionately large number of resources on the server. The clients then continue to keep renegotiating the SSL connection. When multiplied by a large number of attacking machines, this attack can result in a crash or loss of service to legitimate users.
CAPEC-490: Amplification
An adversary may execute an amplification where the size of a response is far greater than that of the request that generates it. The goal of this attack is to use a relatively few resources to create a large amount of traffic against a target server. To execute this attack, an adversary send a request to a 3rd party service, spoofing the source address to be that of the target server. The larger response that is generated by the 3rd party service is then sent to the target server. By sending a large number of initial requests, the adversary can generate a tremendous amount of traffic directed at the target. The greater the discrepancy in size between the initial request and the final payload delivered to the target increased the effectiveness of this attack.
CAPEC-491: Quadratic Data Expansion
An adversary exploits macro-like substitution to cause a denial of service situation due to excessive memory being allocated to fully expand the data. The result of this denial of service could cause the application to freeze or crash. This involves defining a very large entity and using it multiple times in a single entity substitution. CAPEC-197 is a similar attack pattern, but it is easier to discover and defend against. This attack pattern does not perform multi-level substitution and therefore does not obviously appear to consume extensive resources.
CAPEC-493: SOAP Array Blowup
An adversary may execute an attack on a web service that uses SOAP messages in communication. By sending a very large SOAP array declaration to the web service, the attacker forces the web service to allocate space for the array elements before they are parsed by the XML parser. The attacker message is typically small in size containing a large array declaration of say 1,000,000 elements and a couple of array elements. This attack targets exhaustion of the memory resources of the web service.
CAPEC-494: TCP Fragmentation
An adversary may execute a TCP Fragmentation attack against a target with the intention of avoiding filtering rules of network controls, by attempting to fragment the TCP packet such that the headers flag field is pushed into the second fragment which typically is not filtered.
CAPEC-495: UDP Fragmentation
An attacker may execute a UDP Fragmentation attack against a target server in an attempt to consume resources such as bandwidth and CPU. IP fragmentation occurs when an IP datagram is larger than the MTU of the route the datagram has to traverse. Typically the attacker will use large UDP packets over 1500 bytes of data which forces fragmentation as ethernet MTU is 1500 bytes. This attack is a variation on a typical UDP flood but it enables more network bandwidth to be consumed with fewer packets. Additionally it has the potential to consume server CPU resources and fill memory buffers associated with the processing and reassembling of fragmented packets.
CAPEC-496: ICMP Fragmentation
An attacker may execute a ICMP Fragmentation attack against a target with the intention of consuming resources or causing a crash. The attacker crafts a large number of identical fragmented IP packets containing a portion of a fragmented ICMP message. The attacker these sends these messages to a target host which causes the host to become non-responsive. Another vector may be sending a fragmented ICMP message to a target host with incorrect sizes in the header which causes the host to hang.
CAPEC-528: XML Flood
An adversary may execute a flooding attack using XML messages with the intent to deny legitimate users access to a web service. These attacks are accomplished by sending a large number of XML based requests and letting the service attempt to parse each one. In many cases this type of an attack will result in a XML Denial of Service (XDoS) due to an application becoming unstable, freezing, or crashing.