CWE-400
DiscouragedUncontrolled Resource Consumption
Abstraction: Class · Status: Draft
The product does not properly control the allocation and maintenance of a limited resource.
6483 vulnerabilities reference this CWE, most recent first.
GHSA-MG2C-C9JJ-4XGV
Vulnerability from github – Published: 2022-04-03 00:01 – Updated: 2022-04-09 00:00Unauthenticated users can access sensitive web URLs through GET request, which should be restricted to maintenance users only. A malicious attacker could use this sensitive information’s to launch further attacks on the system.
{
"affected": [],
"aliases": [
"CVE-2021-32503"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-04-01T23:15:00Z",
"severity": "MODERATE"
},
"details": "Unauthenticated users can access sensitive web URLs through GET request, which should be restricted to maintenance users only. A malicious attacker could use this sensitive information\u2019s to launch further attacks on the system.",
"id": "GHSA-mg2c-c9jj-4xgv",
"modified": "2022-04-09T00:00:41Z",
"published": "2022-04-03T00:01:02Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-32503"
},
{
"type": "WEB",
"url": "https://sick.com/psirt"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-MG2C-WJPF-6PJP
Vulnerability from github – Published: 2022-05-13 01:35 – Updated: 2022-05-13 01:35A denial of service vulnerability in the telnetd service on Junos OS allows remote unauthenticated users to cause high CPU usage which may affect system performance. Affected releases are Juniper Networks Junos OS: 12.1X46 versions prior to 12.1X46-D81 on SRX Series; 12.3 versions prior to 12.3R12-S11; 12.3X48 versions prior to 12.3X48-D80 on SRX Series; 15.1 versions prior to 15.1R7; 15.1X49 versions prior to 15.1X49-D150, 15.1X49-D160 on SRX Series; 15.1X53 versions prior to 15.1X53-D59 on EX2300/EX3400 Series; 15.1X53 versions prior to 15.1X53-D68 on QFX10K Series; 15.1X53 versions prior to 15.1X53-D235 on QFX5200/QFX5110 Series; 15.1X53 versions prior to 15.1X53-D495 on NFX Series; 16.1 versions prior to 16.1R4-S12, 16.1R6-S6, 16.1R7; 16.2 versions prior to 16.2R2-S7, 16.2R3; 17.1 versions prior to 17.1R2-S9, 17.1R3; 17.2 versions prior to 17.2R2-S6, 17.2R3; 17.2X75 versions prior to 17.2X75-D100; 17.3 versions prior to 17.3R2-S4, 17.3R3; 17.4 versions prior to 17.4R1-S5, 17.4R2; 18.2X75 versions prior to 18.2X75-D5.
{
"affected": [],
"aliases": [
"CVE-2018-0061"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-10-10T18:29:00Z",
"severity": "MODERATE"
},
"details": "A denial of service vulnerability in the telnetd service on Junos OS allows remote unauthenticated users to cause high CPU usage which may affect system performance. Affected releases are Juniper Networks Junos OS: 12.1X46 versions prior to 12.1X46-D81 on SRX Series; 12.3 versions prior to 12.3R12-S11; 12.3X48 versions prior to 12.3X48-D80 on SRX Series; 15.1 versions prior to 15.1R7; 15.1X49 versions prior to 15.1X49-D150, 15.1X49-D160 on SRX Series; 15.1X53 versions prior to 15.1X53-D59 on EX2300/EX3400 Series; 15.1X53 versions prior to 15.1X53-D68 on QFX10K Series; 15.1X53 versions prior to 15.1X53-D235 on QFX5200/QFX5110 Series; 15.1X53 versions prior to 15.1X53-D495 on NFX Series; 16.1 versions prior to 16.1R4-S12, 16.1R6-S6, 16.1R7; 16.2 versions prior to 16.2R2-S7, 16.2R3; 17.1 versions prior to 17.1R2-S9, 17.1R3; 17.2 versions prior to 17.2R2-S6, 17.2R3; 17.2X75 versions prior to 17.2X75-D100; 17.3 versions prior to 17.3R2-S4, 17.3R3; 17.4 versions prior to 17.4R1-S5, 17.4R2; 18.2X75 versions prior to 18.2X75-D5.",
"id": "GHSA-mg2c-wjpf-6pjp",
"modified": "2022-05-13T01:35:53Z",
"published": "2022-05-13T01:35:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-0061"
},
{
"type": "WEB",
"url": "https://kb.juniper.net/JSA10896"
},
{
"type": "WEB",
"url": "http://www.securitytracker.com/id/1041859"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
"type": "CVSS_V3"
}
]
}
GHSA-MG2X-VMW2-XM7H
Vulnerability from github – Published: 2026-02-12 00:31 – Updated: 2026-04-02 21:32The issue was addressed with improved bounds checks. This issue is fixed in macOS Sequoia 15.7.4, iOS 18.7.5 and iPadOS 18.7.5, macOS Sonoma 14.8.4. A malicious HID device may cause an unexpected process crash.
{
"affected": [],
"aliases": [
"CVE-2025-46304"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-02-11T23:16:02Z",
"severity": "MODERATE"
},
"details": "The issue was addressed with improved bounds checks. This issue is fixed in macOS Sequoia 15.7.4, iOS 18.7.5 and iPadOS 18.7.5, macOS Sonoma 14.8.4. A malicious HID device may cause an unexpected process crash.",
"id": "GHSA-mg2x-vmw2-xm7h",
"modified": "2026-04-02T21:32:42Z",
"published": "2026-02-12T00:31:03Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-46304"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/125884"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/125886"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/125889"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/125890"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/125891"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/126347"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/126349"
},
{
"type": "WEB",
"url": "https://support.apple.com/en-us/126350"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-MG8Q-H427-34H6
Vulnerability from github – Published: 2022-04-26 00:00 – Updated: 2022-05-06 00:01A Denial-of-Service (DoS) vulnerability was discovered in F-Secure Atlant whereby the fsicapd component used in certain F-Secure products while scanning larger packages/fuzzed files consume too much memory eventually can crash the scanning engine. The exploit can be triggered remotely by an attacker.
{
"affected": [],
"aliases": [
"CVE-2022-28871"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-04-25T11:15:00Z",
"severity": "HIGH"
},
"details": "A Denial-of-Service (DoS) vulnerability was discovered in F-Secure Atlant whereby the fsicapd component used in certain F-Secure products while scanning larger packages/fuzzed files consume too much memory eventually can crash the scanning engine. The exploit can be triggered remotely by an attacker.",
"id": "GHSA-mg8q-h427-34h6",
"modified": "2022-05-06T00:01:25Z",
"published": "2022-04-26T00:00:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-28871"
},
{
"type": "WEB",
"url": "https://www.f-secure.com/en/home/support/security-advisories/cve-2022-28871"
},
{
"type": "WEB",
"url": "https://www.withsecure.com/en/support/security-advisories/cve-2022-28871"
}
],
"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-MGHH-PGCX-3JJJ
Vulnerability from github – Published: 2026-09-30 15:03 – Updated: 2026-09-30 15:03Summary
Axios shouldBypassProxy() normalizes hostnames with hostname.replace(/\.+$/, ''). For a hostname shaped as many dots followed by a non-dot, the anchored regex can perform quadratic backtracking. Because axios re-evaluates proxy bypass rules for redirected requests, a malicious server can trigger this synchronous work through a crafted redirect Location.
The issue affects Node.js applications that use environment proxy variables with NO_PROXY and allow redirects.
Impact
An attacker-controlled server can return a redirect whose hostname causes the axios process to spend significant CPU time in synchronous hostname normalization. During this time, the Node.js event loop is blocked and the application cannot handle other work on that thread.
This is an availability-only issue. It does not disclose request data or modify requests.
Affected Functionality
Affected:
- Node.js HTTP adapter.
- Environment proxy handling through
HTTP_PROXYorHTTPS_PROXY. NO_PROXYorno_proxyset to a non-empty value.- Redirects followed by axios or
follow-redirects.
Not affected:
- Browser adapters.
- Requests with
proxy: false. - Requests with no
NO_PROXYvalue. - Requests with
maxRedirects: 0, unless application code manually follows the malicious redirect and re-enters axios.
Technical Details
lib/helpers/shouldBypassProxy.js contains:
return unmapIPv4MappedIPv6(hostname.replace(/\.+$/, ''));
When the hostname is "." * n + "a", the $ anchor causes the regex engine to retry the dot run from many positions before it fails. setProxy() invokes shouldBypassProxy(location) after getProxyForUrl(location) returns a proxy, including on redirect hops via beforeRedirects.proxy.
Local timing on axios 1.18.1 showed increasing cost for crafted hostnames: about 1 ms at 1000 dots, 6.9 ms at 3000 dots, and 34.5 ms at 6000 dots. The growth is consistent with the submitted quadratic claim while avoiding long-running payloads.
Proof of Concept of Attack
Constrained helper-level demonstration:
import shouldBypassProxy from 'axios/lib/helpers/shouldBypassProxy.js';
process.env.NO_PROXY = 'example.com';
shouldBypassProxy('http://' + '.'.repeat(6000) + 'a/');
In the full adapter path, a malicious server can return that hostname in a 302 Location header while the client has proxy environment variables and NO_PROXY configured.
Workarounds
Disable automatic redirects for requests to untrusted servers, or avoid environment proxy handling for those requests with proxy: false when appropriate. Operators can also avoid broad untrusted redirect-following in services where event-loop availability is critical.
Original report
### Summary shouldBypassProxy normalizes a host with hostname.replace(/\.+$/, ''). On a host of the shape (e.g. "." × 40000 + "a"), this anchored regex backtracks quadratically (O(N²)), synchronously starving the Node.js event loop. Because axios re-evaluates the proxy on every redirect using the new Location host, a malicious server can return a crafted 302 Location and freeze the client's event loop for seconds per redirect — a denial of service. ### Details - Affected code: lib/helpers/shouldBypassProxy.js → normalizeNoProxyHost: hostname.replace(/\.+$/, '') (one pass in 1.18.1). The open PR #11029 adds a second /\.+$/ pass in normalizeIPAddress, doubling the cost (not the origin). - Root cause: /\.+$/ is O(N²) on a long run of dots that is not at the end of the string — the $ anchor forces the engine to backtrack the entire dot-run from every start position. - Trust boundary (per THREATMODEL): the redirect Location is untrusted (T-2: "axios to network … redirect Location … untrusted"). The caller requests a benign URL; the malicious host arrives via the server's 302. This is not the T-1 caller-supplied-URL non-goal. - Call chain: setProxy(options, configProxy, location, isRedirect, …) (lib/adapters/http.js) → env-proxy branch → getProxyForUrl(location) returns a proxy → if (!shouldBypassProxy(location)) → normalizeNoProxyHost(parsed.hostname.toLowerCase()) runs /\.+$/. setProxy is re-invoked on the redirect hop with the untrusted Location; new URL() retains the long dot-run in .hostname. - Preconditions: proxy configured via environment (HTTP_PROXY/HTTPS_PROXY, trusted per THREATMODEL T-3, common in CI/containers/enterprise) + NO_PROXY set + redirects followed (default maxRedirects: 5). ### PoC Self-contained, no network — imports axios's own helper: // node poc.mjs (run next to an axios install) import sbp from './node_modules/axios/lib/helpers/shouldBypassProxy.js'; process.env.NO_PROXY = 'example.com'; for (const n of [5000, 10000, 20000, 40000]) { const url = 'http://' + '.'.repeat(n) + 'a/'; // arrives as an untrusted 302 Location host const t0 = process.hrtime.bigint(); sbp(url); // returns false (correct no-bypass) — but O(N^2) slow console.log(`N=${n}: ${(Number(process.hrtime.bigint()-t0)/1e6)|0} ms`); } // Measured on 1.18.1: N=5000 ~43ms, 10000 ~160ms, 20000 ~618ms, 40000 ~2499ms; benign host ~0.05ms. Driven through the real http-adapter __setProxy on the redirect path (setProxy(…, isRedirect=true)), a 10 ms timer fires 0 times during the ~2.4 s block at N=40000 — full event-loop starvation. ### Impact Denial of service (event-loop starvation) on any axios client that uses an environment proxy with NO_PROXY set and follows redirects, when a server it contacts returns a crafted redirect Location. No data exposure or RCE. Same impact class as the accepted DoS advisories GHSA-62hf-57xw-28j9 (toFormData recursion) and the maxContentLength response-size DoS. ### Suggested fix Replace the regex trailing-dot strip with a linear trim: let end = hostname.length; while (end > 0 && hostname.charCodeAt(end - 1) === 46 /* '.' */) end--; hostname = hostname.slice(0, end); Also drop the redundant second /\.+$/ pass in PR #11029's normalizeIPAddress.{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "axios"
},
"ranges": [
{
"events": [
{
"introduced": "1.15.0"
},
{
"fixed": "1.20.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-101906"
],
"database_specific": {
"cwe_ids": [
"CWE-1333",
"CWE-400"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-30T15:03:02Z",
"nvd_published_at": "2026-09-28T18:17:19Z",
"severity": "HIGH"
},
"details": "## Summary\n\nAxios `shouldBypassProxy()` normalizes hostnames with `hostname.replace(/\\.+$/, \u0027\u0027)`. For a hostname shaped as many dots followed by a non-dot, the anchored regex can perform quadratic backtracking. Because axios re-evaluates proxy bypass rules for redirected requests, a malicious server can trigger this synchronous work through a crafted redirect `Location`.\n\nThe issue affects Node.js applications that use environment proxy variables with `NO_PROXY` and allow redirects.\n\n## Impact\n\nAn attacker-controlled server can return a redirect whose hostname causes the axios process to spend significant CPU time in synchronous hostname normalization. During this time, the Node.js event loop is blocked and the application cannot handle other work on that thread.\n\nThis is an availability-only issue. It does not disclose request data or modify requests.\n\n## Affected Functionality\n\nAffected:\n\n- Node.js HTTP adapter.\n- Environment proxy handling through `HTTP_PROXY` or `HTTPS_PROXY`.\n- `NO_PROXY` or `no_proxy` set to a non-empty value.\n- Redirects followed by axios or `follow-redirects`.\n\nNot affected:\n\n- Browser adapters.\n- Requests with `proxy: false`.\n- Requests with no `NO_PROXY` value.\n- Requests with `maxRedirects: 0`, unless application code manually follows the malicious redirect and re-enters axios.\n\n## Technical Details\n\n`lib/helpers/shouldBypassProxy.js` contains:\n\n```js\nreturn unmapIPv4MappedIPv6(hostname.replace(/\\.+$/, \u0027\u0027));\n```\n\nWhen the hostname is `\".\" * n + \"a\"`, the `$` anchor causes the regex engine to retry the dot run from many positions before it fails. `setProxy()` invokes `shouldBypassProxy(location)` after `getProxyForUrl(location)` returns a proxy, including on redirect hops via `beforeRedirects.proxy`.\n\nLocal timing on axios `1.18.1` showed increasing cost for crafted hostnames: about 1 ms at 1000 dots, 6.9 ms at 3000 dots, and 34.5 ms at 6000 dots. The growth is consistent with the submitted quadratic claim while avoiding long-running payloads.\n\n## Proof of Concept of Attack\n\nConstrained helper-level demonstration:\n\n```js\nimport shouldBypassProxy from \u0027axios/lib/helpers/shouldBypassProxy.js\u0027;\n\nprocess.env.NO_PROXY = \u0027example.com\u0027;\nshouldBypassProxy(\u0027http://\u0027 + \u0027.\u0027.repeat(6000) + \u0027a/\u0027);\n```\n\nIn the full adapter path, a malicious server can return that hostname in a `302 Location` header while the client has proxy environment variables and `NO_PROXY` configured.\n\n## Workarounds\n\nDisable automatic redirects for requests to untrusted servers, or avoid environment proxy handling for those requests with `proxy: false` when appropriate. Operators can also avoid broad untrusted redirect-following in services where event-loop availability is critical.\n\n\u003cdetails\u003e\n \u003csummary\u003e\u003ch3\u003eOriginal report\u003c/h3\u003e\u003c/summary\u003e\n \n### Summary\n\nshouldBypassProxy normalizes a host with hostname.replace(/\\.+$/, \u0027\u0027). On a host of the shape \u003cmany dots\u003e\u003cnon-dot\u003e (e.g. \".\" \u00d7 40000 + \"a\"), this anchored regex backtracks quadratically (O(N\u00b2)), synchronously starving the Node.js event loop. Because axios re-evaluates the proxy on every redirect using the new Location host, a malicious server can return a crafted 302 Location and freeze the client\u0027s event loop for seconds per redirect \u2014 a denial of service.\n\n### Details\n\n- Affected code: lib/helpers/shouldBypassProxy.js \u2192 normalizeNoProxyHost: hostname.replace(/\\.+$/, \u0027\u0027) (one pass in 1.18.1). The open PR #11029 adds a second /\\.+$/ pass in normalizeIPAddress, doubling the cost (not the origin).\n- Root cause: /\\.+$/ is O(N\u00b2) on a long run of dots that is not at the end of the string \u2014 the $ anchor forces the engine to backtrack the entire dot-run from every start position.\n- Trust boundary (per THREATMODEL): the redirect Location is untrusted (T-2: \"axios to network \u2026 redirect Location \u2026 untrusted\"). The caller requests a benign URL; the malicious host arrives via the server\u0027s\u00a0302. This is not the T-1 caller-supplied-URL non-goal.\n- Call chain: setProxy(options, configProxy, location, isRedirect, \u2026) (lib/adapters/http.js) \u2192 env-proxy branch \u2192 getProxyForUrl(location) returns a proxy \u2192 if (!shouldBypassProxy(location)) \u2192 normalizeNoProxyHost(parsed.hostname.toLowerCase()) runs /\\.+$/. setProxy is re-invoked on the redirect hop with the untrusted Location; new URL() retains the long dot-run in .hostname.\n- Preconditions: proxy configured via environment (HTTP_PROXY/HTTPS_PROXY, trusted per THREATMODEL T-3, common in CI/containers/enterprise) + NO_PROXY set + redirects followed (default maxRedirects: 5).\n\n### PoC\n\nSelf-contained, no network \u2014 imports axios\u0027s own helper:\n// node poc.mjs (run next to an axios install)\nimport sbp from \u0027./node_modules/axios/lib/helpers/shouldBypassProxy.js\u0027;\nprocess.env.NO_PROXY = \u0027example.com\u0027;\nfor (const n of [5000, 10000, 20000, 40000]) {\n const url = \u0027http://\u0027 + \u0027.\u0027.repeat(n) + \u0027a/\u0027; // arrives as an untrusted 302 Location host\n const t0 = process.hrtime.bigint();\n sbp(url); // returns false (correct no-bypass) \u2014 but O(N^2) slow\n console.log(`N=${n}: ${(Number(process.hrtime.bigint()-t0)/1e6)|0} ms`);\n}\n// Measured on 1.18.1: N=5000 ~43ms, 10000 ~160ms, 20000 ~618ms, 40000 ~2499ms; benign host ~0.05ms.\nDriven through the real http-adapter __setProxy on the redirect path (setProxy(\u2026, isRedirect=true)), a 10 ms timer fires 0 times during the ~2.4 s block at N=40000 \u2014 full event-loop starvation.\n\n### Impact\n\nDenial of service (event-loop starvation) on any axios client that uses an environment proxy with NO_PROXY set and follows redirects, when a server it contacts returns a crafted redirect Location. No data exposure or RCE. Same impact class as the accepted DoS advisories GHSA-62hf-57xw-28j9 (toFormData recursion) and the maxContentLength response-size DoS.\n\n### Suggested fix\n\nReplace the regex trailing-dot strip with a linear trim:\nlet end = hostname.length;\nwhile (end \u003e 0 \u0026\u0026 hostname.charCodeAt(end - 1) === 46 /* \u0027.\u0027 */) end--;\nhostname = hostname.slice(0, end);\nAlso drop the redundant second /\\.+$/ pass in PR #11029\u0027s normalizeIPAddress.\n\u003c/details\u003e\n\n---",
"id": "GHSA-mghh-pgcx-3jjj",
"modified": "2026-09-30T15:03:02Z",
"published": "2026-09-30T15:03:02Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/axios/axios/security/advisories/GHSA-mghh-pgcx-3jjj"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-101906"
},
{
"type": "WEB",
"url": "https://github.com/axios/axios/pull/11141"
},
{
"type": "WEB",
"url": "https://github.com/axios/axios/commit/d19040bda7a8be2f82c3c6e1a5bc03917daee39a"
},
{
"type": "PACKAGE",
"url": "https://github.com/axios/axios"
},
{
"type": "WEB",
"url": "https://github.com/axios/axios/releases/tag/v1.20.0"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Axios: ReDoS (O(N\u00b2)) in shouldBypassProxy host normalization, reachable via untrusted redirect Location"
}
GHSA-MGM6-GX92-H348
Vulnerability from github – Published: 2022-05-24 17:36 – Updated: 2022-05-24 17:36Bitcoin SV before 0.1.1 allows uncontrolled resource consumption when receiving messages with invalid checksums.
{
"affected": [],
"aliases": [
"CVE-2018-1000891"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-12-23T17:15:00Z",
"severity": "HIGH"
},
"details": "Bitcoin SV before 0.1.1 allows uncontrolled resource consumption when receiving messages with invalid checksums.",
"id": "GHSA-mgm6-gx92-h348",
"modified": "2022-05-24T17:36:58Z",
"published": "2022-05-24T17:36:58Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-1000891"
},
{
"type": "WEB",
"url": "https://bitcoinsv.io/2019/03/01/denial-of-service-vulnerabilities-repaired-in-bitcoin-sv-version-0-1-1"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-MGVC-CJFR-FJF4
Vulnerability from github – Published: 2022-09-03 00:00 – Updated: 2022-09-09 00:01libvncclient v0.9.13 was discovered to contain a memory leak via the function rfbClientCleanup().
{
"affected": [],
"aliases": [
"CVE-2020-29260"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-09-02T23:15:00Z",
"severity": "HIGH"
},
"details": "libvncclient v0.9.13 was discovered to contain a memory leak via the function rfbClientCleanup().",
"id": "GHSA-mgvc-cjfr-fjf4",
"modified": "2022-09-09T00:01:00Z",
"published": "2022-09-03T00:00:15Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-29260"
},
{
"type": "WEB",
"url": "https://github.com/LibVNC/libvncserver/commit/bef41f6ec4097a8ee094f90a1b34a708fbd757ec"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2022/09/msg00035.html"
}
],
"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-MGW6-W847-57FR
Vulnerability from github – Published: 2022-05-24 17:30 – Updated: 2022-05-24 17:30On Juniper Networks EX2300 Series, receipt of a stream of specific multicast packets by the layer2 interface can cause high CPU load, which could lead to traffic interruption. This issue occurs when multicast packets are received by the layer 2 interface. To check if the device has high CPU load due to this issue, the administrator can issue the following command: user@host> show chassis routing-engine Routing Engine status: ... Idle 2 percent the "Idle" value shows as low (2 % in the example above), and also the following command: user@host> show system processes summary ... PID USERNAME PRI NICE SIZE RES STATE TIME WCPU COMMAND 11639 root 52 0 283M 11296K select 12:15 44.97% eventd 11803 root 81 0 719M 239M RUN 251:12 31.98% fxpc{fxpc} the eventd and the fxpc processes might use higher WCPU percentage (respectively 44.97% and 31.98% in the above example). This issue affects Juniper Networks Junos OS on EX2300 Series: 18.1 versions prior to 18.1R3-S11; 18.2 versions prior to 18.2R3-S5; 18.3 versions prior to 18.3R2-S4, 18.3R3-S3; 18.4 versions prior to 18.4R2-S5, 18.4R3-S4; 19.1 versions prior to 19.1R3-S2; 19.2 versions prior to 19.2R1-S5, 19.2R3; 19.3 versions prior to 19.3R2-S4, 19.3R3; 19.4 versions prior to 19.4R1-S3, 19.4R2-S1, 19.4R3; 20.1 versions prior to 20.1R1-S2, 20.1R2.
{
"affected": [],
"aliases": [
"CVE-2020-1668"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2020-10-16T21:15:00Z",
"severity": "MODERATE"
},
"details": "On Juniper Networks EX2300 Series, receipt of a stream of specific multicast packets by the layer2 interface can cause high CPU load, which could lead to traffic interruption. This issue occurs when multicast packets are received by the layer 2 interface. To check if the device has high CPU load due to this issue, the administrator can issue the following command: user@host\u003e show chassis routing-engine Routing Engine status: ... Idle 2 percent the \"Idle\" value shows as low (2 % in the example above), and also the following command: user@host\u003e show system processes summary ... PID USERNAME PRI NICE SIZE RES STATE TIME WCPU COMMAND 11639 root 52 0 283M 11296K select 12:15 44.97% eventd 11803 root 81 0 719M 239M RUN 251:12 31.98% fxpc{fxpc} the eventd and the fxpc processes might use higher WCPU percentage (respectively 44.97% and 31.98% in the above example). This issue affects Juniper Networks Junos OS on EX2300 Series: 18.1 versions prior to 18.1R3-S11; 18.2 versions prior to 18.2R3-S5; 18.3 versions prior to 18.3R2-S4, 18.3R3-S3; 18.4 versions prior to 18.4R2-S5, 18.4R3-S4; 19.1 versions prior to 19.1R3-S2; 19.2 versions prior to 19.2R1-S5, 19.2R3; 19.3 versions prior to 19.3R2-S4, 19.3R3; 19.4 versions prior to 19.4R1-S3, 19.4R2-S1, 19.4R3; 20.1 versions prior to 20.1R1-S2, 20.1R2.",
"id": "GHSA-mgw6-w847-57fr",
"modified": "2022-05-24T17:30:51Z",
"published": "2022-05-24T17:30:51Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2020-1668"
},
{
"type": "WEB",
"url": "https://kb.juniper.net/JSA11065"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-MH2Q-Q3FH-2475
Vulnerability from github – Published: 2026-04-07 20:12 – Updated: 2026-04-24 20:04multi-value baggage: header extraction parses each header field-value independently and aggregates members across values. this allows an attacker to amplify cpu and allocations by sending many baggage: header lines, even when each individual value is within the 8192-byte per-value parse limit.
severity
HIGH (availability / remote request amplification)
relevant links
- repository: https://github.com/open-telemetry/opentelemetry-go
- pinned callsite: https://github.com/open-telemetry/opentelemetry-go/blob/1ee4a4126dbdd1bc79e9fae072fa488beffac52a/propagation/baggage.go#L58
vulnerability details
pins: open-telemetry/opentelemetry-go@1ee4a4126dbdd1bc79e9fae072fa488beffac52a as-of: 2026-02-04 policy: direct (no program scope provided)
callsite: propagation/baggage.go:58 (extractMultiBaggage)
attacker control: inbound HTTP request headers (many baggage field-values) → propagation.HeaderCarrier.Values("baggage") → repeated baggage.Parse + member aggregation
root cause
extractMultiBaggage iterates over all baggage header field-values and parses each one independently, then appends members into a shared slice. the 8192-byte parsing cap applies per header value, but the multi-value path repeats that work once per header line (bounded only by the server/proxy header byte limit).
impact
in a default net/http configuration (max header bytes 1mb), a single request with many baggage: header field-values can cause large per-request allocations and increased latency.
example from the attached PoC harness (darwin/arm64; 80 values; 40 requests):
- canonical:
per_req_alloc_bytes=10315458andp95_ms=7 - control:
per_req_alloc_bytes=133429andp95_ms=0
proof of concept
canonical:
mkdir -p poc
unzip poc.zip -d poc
cd poc
make test
output (excerpt):
[CALLSITE_HIT]: propagation/baggage.go:58 extractMultiBaggage
[PROOF_MARKER]: baggage_multi_value_amplification p95_ms=7 per_req_alloc_bytes=10315458 per_req_allocs=16165
control:
cd poc
make control
control output (excerpt):
[NC_MARKER]: baggage_single_value_baseline p95_ms=0 per_req_alloc_bytes=133429 per_req_allocs=480
expected: multiple baggage header field-values should be semantically equivalent to a single comma-joined baggage value and should not multiply parsing/alloc work within the effective header byte budget.
actual: multiple baggage header field-values trigger repeated parsing and member aggregation, causing high per-request allocations and increased latency even when each individual value is within 8192 bytes.
fix recommendation
avoid repeated parsing across multi-values by enforcing a global budget and/or normalizing multi-values into a single value before parsing. one mitigation approach is to treat multi-values as a single comma-joined string and cap total parsed bytes (for example 8192 bytes total).
fix accepted when: under the default PoC harness settings, canonical stays within 2x of control for per_req_alloc_bytes and per_req_allocs, and p95_ms stays below 2ms.
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 1.40.0"
},
"package": {
"ecosystem": "Go",
"name": "go.opentelemetry.io/otel"
},
"ranges": [
{
"events": [
{
"introduced": "1.36.0"
},
{
"fixed": "1.41.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-29181"
],
"database_specific": {
"cwe_ids": [
"CWE-400",
"CWE-770"
],
"github_reviewed": true,
"github_reviewed_at": "2026-04-07T20:12:57Z",
"nvd_published_at": "2026-04-07T21:17:16Z",
"severity": "HIGH"
},
"details": "multi-value `baggage:` header extraction parses each header field-value independently and aggregates members across values. this allows an attacker to amplify cpu and allocations by sending many `baggage:` header lines, even when each individual value is within the 8192-byte per-value parse limit.\n\n## severity\n\nHIGH (availability / remote request amplification)\n\n## relevant links\n\n- repository: https://github.com/open-telemetry/opentelemetry-go\n- pinned callsite: https://github.com/open-telemetry/opentelemetry-go/blob/1ee4a4126dbdd1bc79e9fae072fa488beffac52a/propagation/baggage.go#L58\n\n## vulnerability details\n\n**pins:** open-telemetry/opentelemetry-go@1ee4a4126dbdd1bc79e9fae072fa488beffac52a\n**as-of:** 2026-02-04\n**policy:** direct (no program scope provided)\n\n**callsite:** propagation/baggage.go:58 (`extractMultiBaggage`)\n**attacker control:** inbound HTTP request headers (many `baggage` field-values) \u2192 `propagation.HeaderCarrier.Values(\"baggage\")` \u2192 repeated `baggage.Parse` + member aggregation\n\n### root cause\n\n`extractMultiBaggage` iterates over all `baggage` header field-values and parses each one independently, then appends members into a shared slice. the 8192-byte parsing cap applies per header value, but the multi-value path repeats that work once per header line (bounded only by the server/proxy header byte limit).\n\n### impact\n\nin a default `net/http` configuration (max header bytes 1mb), a single request with many `baggage:` header field-values can cause large per-request allocations and increased latency.\n\nexample from the attached PoC harness (darwin/arm64; 80 values; 40 requests):\n\n- canonical: `per_req_alloc_bytes=10315458` and `p95_ms=7`\n- control: `per_req_alloc_bytes=133429` and `p95_ms=0`\n\n## proof of concept\n\ncanonical:\n\n```bash\nmkdir -p poc\nunzip poc.zip -d poc\ncd poc\nmake test\n```\n\noutput (excerpt):\n\n```\n[CALLSITE_HIT]: propagation/baggage.go:58 extractMultiBaggage\n[PROOF_MARKER]: baggage_multi_value_amplification p95_ms=7 per_req_alloc_bytes=10315458 per_req_allocs=16165\n```\n\ncontrol:\n\n```bash\ncd poc\nmake control\n```\n\ncontrol output (excerpt):\n\n```\n[NC_MARKER]: baggage_single_value_baseline p95_ms=0 per_req_alloc_bytes=133429 per_req_allocs=480\n```\n\n**expected:** multiple `baggage` header field-values should be semantically equivalent to a single comma-joined `baggage` value and should not multiply parsing/alloc work within the effective header byte budget.\n**actual:** multiple `baggage` header field-values trigger repeated parsing and member aggregation, causing high per-request allocations and increased latency even when each individual value is within 8192 bytes.\n\n## fix recommendation\n\navoid repeated parsing across multi-values by enforcing a global budget and/or normalizing multi-values into a single value before parsing. one mitigation approach is to treat multi-values as a single comma-joined string and cap total parsed bytes (for example 8192 bytes total).\n\n**fix accepted when:** under the default PoC harness settings, canonical stays within 2x of control for `per_req_alloc_bytes` and `per_req_allocs`, and `p95_ms` stays below 2ms.\n\n\n[poc.zip](https://github.com/user-attachments/files/25079945/poc.zip)\n[PR_DESCRIPTION.md](https://github.com/user-attachments/files/25079946/PR_DESCRIPTION.md)",
"id": "GHSA-mh2q-q3fh-2475",
"modified": "2026-04-24T20:04:24Z",
"published": "2026-04-07T20:12:57Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/open-telemetry/opentelemetry-go/security/advisories/GHSA-mh2q-q3fh-2475"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-29181"
},
{
"type": "WEB",
"url": "https://github.com/open-telemetry/opentelemetry-go/pull/7880"
},
{
"type": "WEB",
"url": "https://github.com/open-telemetry/opentelemetry-go/commit/aa1894e09e3fe66860c7885cb40f98901b35277f"
},
{
"type": "PACKAGE",
"url": "https://github.com/open-telemetry/opentelemetry-go"
},
{
"type": "WEB",
"url": "https://github.com/open-telemetry/opentelemetry-go/releases/tag/v1.41.0"
}
],
"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"
}
],
"summary": "OpenTelemetry-Go: multi-value `baggage` header extraction causes excessive allocations (remote dos amplification)"
}
GHSA-MH3M-8C74-74XH
Vulnerability from github – Published: 2022-01-27 15:28 – Updated: 2022-01-31 21:59Impact
This is a DoS vulnerability that is possible due to a bug in the library that would allow an attacker with specifically designed queries to cause stack overflow panics. Any user with access to the GraphQL handler can send these queries and cause stack overflows. This in turn could potentially compromise the ability of the server to serve data to its users. To make things worse the only mitigation in affected versions creates opportunities for other attacks. This issue is only available if you are using graphql.MaxDepth option in your schema (which is highly recommended in most cases).
Patches
The issue has been patched in version v1.3.0. We have been trying to maintain backwards compatibility and avoid breaking changes so upgrading should not be problematic.
Workarounds
The best workaround is to patch to a version greater than or equal to v1.3.0.
Otherwise, the only workaround in versions prior to v1.3.0 is to disable the graphql.MaxDepth option from your schema. Unfortunately, this could potentially create opportunities for other attacks.
References
There are no references or links. This issue was reported privately and was fixed before creating this Security Advisory.
For more information
If you have any questions or comments feel free to reach out to @pavelnikolov or @tony on the Gopher Slack.
{
"affected": [
{
"package": {
"ecosystem": "Go",
"name": "github.com/graph-gophers/graphql-go"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.3.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2022-21708"
],
"database_specific": {
"cwe_ids": [
"CWE-400"
],
"github_reviewed": true,
"github_reviewed_at": "2022-01-24T22:42:15Z",
"nvd_published_at": "2022-01-21T23:15:00Z",
"severity": "MODERATE"
},
"details": "### Impact\nThis is a DoS vulnerability that is possible due to a bug in the library that would allow an attacker with specifically designed queries to cause stack overflow panics. Any user with access to the GraphQL handler can send these queries and cause stack overflows. This in turn could potentially compromise the ability of the server to serve data to its users. To make things worse the only mitigation in affected versions creates opportunities for other attacks. This issue is only available if you are using `graphql.MaxDepth` option in your schema (which is highly recommended in most cases).\n\n### Patches\nThe issue has been patched in version `v1.3.0`. We have been trying to maintain backwards compatibility and avoid breaking changes so upgrading should not be problematic. \n\n### Workarounds\nThe best workaround is to patch to a version greater than or equal to `v1.3.0`. \nOtherwise, the only workaround in versions prior to `v1.3.0` is to disable the `graphql.MaxDepth` option from your schema. Unfortunately, this could potentially create opportunities for other attacks.\n\n### References\nThere are no references or links. This issue was reported privately and was fixed before creating this Security Advisory.\n\n### For more information\nIf you have any questions or comments feel free to reach out to @pavelnikolov or @tony on the Gopher Slack.",
"id": "GHSA-mh3m-8c74-74xh",
"modified": "2022-01-31T21:59:33Z",
"published": "2022-01-27T15:28:06Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/graph-gophers/graphql-go/security/advisories/GHSA-mh3m-8c74-74xh"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-21708"
},
{
"type": "WEB",
"url": "https://github.com/graph-gophers/graphql-go/commit/eae31ca73eb3473c544710955d1dbebc22605bfe"
},
{
"type": "PACKAGE",
"url": "https://github.com/graph-gophers/graphql-go"
},
{
"type": "WEB",
"url": "https://pkg.go.dev/vuln/GO-2022-0300"
}
],
"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": "Denial of Service in graphql-go"
}
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. 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
- 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 is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
- recognizes the attack and denies that user further access for a given amount of time, or
- 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
Ensure that all failures in resource allocation place the system into a safe posture.
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-227: Sustained Client Engagement
An adversary attempts to deny legitimate users access to a resource by continually engaging a specific resource in an attempt to keep the resource tied up as long as possible. The adversary's primary goal is not to crash or flood the target, which would alert defenders; rather it is to repeatedly perform actions or abuse algorithmic flaws such that a given resource is tied up and not available to a legitimate user. By carefully crafting a requests that keep the resource engaged through what is seemingly benign requests, legitimate users are limited or completely denied access to the resource.
CAPEC-492: Regular Expression Exponential Blowup
An adversary may execute an attack on a program that uses a poor Regular Expression(Regex) implementation by choosing input that results in an extreme situation for the Regex. A typical extreme situation operates at exponential time compared to the input size. This is due to most implementations using a Nondeterministic Finite Automaton(NFA) state machine to be built by the Regex algorithm since NFA allows backtracking and thus more complex regular expressions.