Common Weakness Enumeration
CWE-400
DiscouragedUncontrolled Resource Consumption
Abstraction: Class · Status: Draft
The product does not properly control the allocation and maintenance of a limited resource.
5914 vulnerabilities reference this CWE, most recent first.
CVE-2026-49851 (GCVE-0-2026-49851)
Vulnerability from cvelistv5 – Published: 2026-06-24 17:05 – Updated: 2026-08-28 12:04
VLAI
EPSS
VEX
Title
Mistune: Potential DoS via quadratic-time parsing in parse_link_text
Summary
Mistune is a Python Markdown parser with renderers and plugins. Prior to 3.3.0, Mistune is vulnerable to a CPU exhaustion DoS due to superlinear (approximately O(n²)) behavior in parse_link_text. When parsing Markdown containing many consecutive [ characters, parse_link_text repeatedly scans the input using a regex search inside a loop. Each iteration re-scans a large portion of the remaining string, resulting in quadratic-time behavior. An attacker-controlled Markdown input can therefore trigger excessive CPU usage with a very small payload. This vulnerability is fixed in 3.3.0.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-25 19:55 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/lepture/mistune/security/advis… | x_refsource_CONFIRM |
| https://access.redhat.com/security/cve/CVE-2026-49851 | vdb-entryx_refsource_REDHAT |
| https://bugzilla.redhat.com/show_bug.cgi?id=2492304 | issue-trackingx_refsource_REDHAT |
| https://security.access.redhat.com/data/csaf/v2/v… | x_sadp-csaf-vex |
| https://access.redhat.com/errata/RHSA-2026:60520 | vendor-advisoryx_refsource_REDHAT |
Impacted products
23 products
| Vendor | Product | Version | |
|---|---|---|---|
| lepture | mistune |
Affected:
< 3.3.0
|
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073866 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073936 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073873 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073459 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073611 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073451 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076778 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787077779 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787076481 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074331 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073913 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787074078 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073929 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073605 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073546 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073717 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073713 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Red Hat OpenShift AI 3.4 |
Unaffected:
1787073593 , < *
(rpm)
cpe:/a:redhat:openshift_ai:3.4::el9 |
|
| Red Hat | Migration Toolkit for Applications 8 |
cpe:/a:redhat:migration_toolkit_applications:8
|
|
| Red Hat | Red Hat OpenShift AI (RHOAI) |
cpe:/a:redhat:openshift_ai
|
|
| Red Hat | Red Hat OpenShift Container Platform 4 |
cpe:/a:redhat:openshift:4
|
|
| Red Hat | Red Hat Satellite 6 |
cpe:/a:redhat:satellite:6
|
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CVE-2026-49842 (GCVE-0-2026-49842)
Vulnerability from cvelistv5 – Published: 2026-06-09 16:02 – Updated: 2026-06-09 18:39
VLAI
EPSS
VEX
Title
FreeSWITCH: Pre-authentication bandwidth amplification via `mod_verto` speed-test frames
Summary
FreeSWITCH is a Software Defined Telecom Stack enabling the digital transformation from proprietary telecom switches to a software implementation that runs on any commodity hardware. Prior to version 1.11.1, mod_verto's WebSocket frame loop intercepts a #-prefixed speed-test protocol (#SPU / #SPB / #SPE) before any authentication check. The declared payload size in #SPU was parsed with atoi() and only rejected non-positive values, so an unauthenticated peer could request up to INT_MAX bytes. The server then wrote roughly size * 10 bytes back during the download phase, on the order of 20 GB per request, yielding strong outbound bandwidth amplification from a short request. This issue has been patched in version 1.11.1.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-09 18:05 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/signalwire/freeswitch/security… | x_refsource_CONFIRM |
| https://github.com/signalwire/freeswitch/releases… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| signalwire | freeswitch |
Affected:
< 1.11.1
|
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CVE-2026-49799 (GCVE-0-2026-49799)
Vulnerability from cvelistv5 – Published: 2026-07-14 17:06 – Updated: 2026-08-31 15:26
VLAI
EPSS
VEX
Title
Windows Local Security Authority Subsystem Service (LSASS) Denial of Service Vulnerability
Summary
Uncontrolled resource consumption in Windows Local Security Authority Subsystem Service (LSASS) allows an authorized attacker to deny service over a network.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-14 19:20 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://msrc.microsoft.com/update-guide/vulnerabi… | vendor-advisorypatch |
Impacted products
18 products
| Vendor | Product | Version | |
|---|---|---|---|
| Microsoft | Windows 10 Version 1607 |
Affected:
10.0.14393.0 , < 10.0.14393.9339
(custom)
|
|
| Microsoft | Windows 10 Version 1809 |
Affected:
10.0.17763.0 , < 10.0.17763.9020
(custom)
|
|
| Microsoft | Windows 10 Version 21H2 |
Affected:
10.0.19044.0 , < 10.0.19044.7548
(custom)
|
|
| Microsoft | Windows 10 Version 22H2 |
Affected:
10.0.19045.0 , < 10.0.19045.7548
(custom)
|
|
| Microsoft | Windows 11 Version 24H2 |
Affected:
10.0.26100.0 , < 10.0.26100.8875
(custom)
|
|
| Microsoft | Windows 11 Version 25H2 |
Affected:
10.0.26200.0 , < 10.0.26200.8875
(custom)
|
|
| Microsoft | Windows 11 version 26H1 |
Affected:
10.0.28000.0 , < 10.0.28000.2525
(custom)
|
|
| Microsoft | Windows Server 2012 |
Affected:
6.2.9200.0 , < 6.2.9200.26226
(custom)
|
|
| Microsoft | Windows Server 2012 (Server Core installation) |
Affected:
6.2.9200.0 , < 6.2.9200.26226
(custom)
|
|
| Microsoft | Windows Server 2012 R2 |
Affected:
6.3.9600.0 , < 6.3.9600.23291
(custom)
|
|
| Microsoft | Windows Server 2012 R2 (Server Core installation) |
Affected:
6.3.9600.0 , < 6.3.9600.23291
(custom)
|
|
| Microsoft | Windows Server 2016 |
Affected:
10.0.14393.0 , < 10.0.14393.9339
(custom)
|
|
| Microsoft | Windows Server 2016 (Server Core installation) |
Affected:
10.0.14393.0 , < 10.0.14393.9339
(custom)
|
|
| Microsoft | Windows Server 2019 |
Affected:
10.0.17763.0 , < 10.0.17763.9020
(custom)
|
|
| Microsoft | Windows Server 2019 (Server Core installation) |
Affected:
10.0.17763.0 , < 10.0.17763.9020
(custom)
|
|
| Microsoft | Windows Server 2022 |
Affected:
10.0.20348.0 , < 10.0.20348.5386
(custom)
|
|
| Microsoft | Windows Server 2025 |
Affected:
10.0.26100.0 , < 10.0.26100.33158
(custom)
|
|
| Microsoft | Windows Server 2025 (Server Core installation) |
Affected:
10.0.26100.0 , < 10.0.26100.33158
(custom)
|
Date Public
2026-07-14 14:00
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CVE-2026-49762 (GCVE-0-2026-49762)
Vulnerability from cvelistv5 – Published: 2026-06-09 14:04 – Updated: 2026-06-10 04:43
VLAI
EPSS
VEX
Title
Unbounded integer parsing in the Version module enables CPU and memory exhaustion denial of service
Summary
Uncontrolled Resource Consumption vulnerability in the Elixir standard library's Version module allows an attacker who controls a version string to cause a denial of service through CPU and memory exhaustion.
The version parser converts numeric version components (major, minor, patch and numeric pre-release/build identifiers) to integers without bounding their length. A single large all-digit component therefore forces a super-linear, non-yielding base-10 to arbitrary-precision integer conversion (String.to_integer/1, i.e. :erlang.binary_to_integer/1) that pins a BEAM scheduler, and a larger component raises an uncaught SystemLimitError that crashes the calling process. A single moderately sized string (around one megabyte) is enough; no authentication is required.
This is reachable from the public entry points Version.parse/1, Version.parse!/1, Version.match?/3, Version.compare/2, and Version.parse_requirement/1, which applications routinely call on untrusted input such as HTTP parameters, dependency-manifest fields, and package metadata.
This vulnerability is associated with program files lib/version.ex and program routines 'Elixir.Version.Parser':parse_digits/2.
This issue affects Elixir: from 1.5.0 before 1.20.1.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-09 14:48 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/elixir-lang/elixir/security/ad… | vendor-advisoryrelated |
| https://cna.erlef.org/cves/CVE-2026-49762.html | related |
| https://osv.dev/vulnerability/EEF-CVE-2026-49762 | related |
| https://github.com/elixir-lang/elixir/commit/c644… | patch |
Impacted products
2 products
| Vendor | Product | Version | |
|---|---|---|---|
| elixir-lang | elixir |
Affected:
1.5.0 , < 1.20.1
(semver)
cpe:2.3:a:elixir-lang:elixir:*:*:*:*:*:*:*:* |
|
| elixir-lang | elixir |
Affected:
63e186aea94395897dc4964d82d250130c01ec25 , < c64417d72fd5c7d09e963ca3ac5fa2b140978d9e
(git)
cpe:2.3:a:elixir-lang:elixir:*:*:*:*:*:*:*:* |
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CVE-2026-49485 (GCVE-0-2026-49485)
Vulnerability from cvelistv5 – Published: 2026-07-17 20:59 – Updated: 2026-07-20 13:45
VLAI
EPSS
VEX
Title
HAPI FHIR: ReDoS via FHIRPath matches()/replaceMatches() in FHIR Validator HTTP Endpoint
Summary
HAPI FHIR is a complete implementation of the HL7 FHIR standard for healthcare interoperability in Java. Prior to 6.9.9 and 6.9.4.2, all implementations of FHIRPathEngine accept arbitrary FHIRPath expressions and evaluate them without input validation, and the FHIRPath functions matches(), matchesFull(), and replaceMatches() pass user-controlled regular expressions to Java's Pattern.compile() and String.replaceAll() through an incomplete timeout utility. An attacker can send a resource containing an evil regex pattern that causes catastrophic backtracking, exhausting CPU resources and causing denial of service in the FHIR Validator HTTP endpoint and affected org.hl7.fhir.* modules. This issue is fixed in versions 6.9.9 and 6.9.4.2.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-20 13:45 UTC
CWE
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/hapifhir/org.hl7.fhir.core/sec… | x_refsource_CONFIRM |
| https://github.com/hapifhir/org.hl7.fhir.core/pull/2463 | x_refsource_MISC |
| https://github.com/hapifhir/org.hl7.fhir.core/com… | x_refsource_MISC |
| https://github.com/hapifhir/org.hl7.fhir.core/com… | x_refsource_MISC |
| https://github.com/hapifhir/org.hl7.fhir.core/rel… | x_refsource_MISC |
| https://github.com/hapifhir/org.hl7.fhir.core/rel… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| hapifhir | org.hl7.fhir.core |
Affected:
< 6.9.4.2
Affected: >= 6.9.5, < 6.9.9 |
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CVE-2026-49477 (GCVE-0-2026-49477)
Vulnerability from cvelistv5 – Published: 2026-07-14 20:51 – Updated: 2026-07-21 14:49
VLAI
EPSS
VEX
Title
Soup Sieve: Regular Expression Denial of Service (ReDoS) in soupsieve Selector Parser
Summary
Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. Prior to 2.8.4, the CSS selector parser in soupsieve contains a regular expression vulnerable to catastrophic backtracking when processing an attribute selector with an unterminated quoted value in soupsieve/css_parser.py, allowing an attacker who can supply untrusted CSS selector strings to soupsieve.compile() or Beautiful Soup .select() / .select_one() to cause CPU exhaustion and denial of service. This issue is fixed in version 2.8.4.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-21 14:49 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/facelessuser/soupsieve/securit… | x_refsource_CONFIRM |
| https://github.com/facelessuser/soupsieve/commit/… | x_refsource_MISC |
| https://github.com/facelessuser/soupsieve/release… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| facelessuser | soupsieve |
Affected:
< 2.8.4
|
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CVE-2026-49476 (GCVE-0-2026-49476)
Vulnerability from cvelistv5 – Published: 2026-07-14 20:53 – Updated: 2026-07-15 14:27
VLAI
EPSS
VEX
Title
Soup Sieve: Memory Exhaustion via Large Comma-Separated Selector Lists in soupsieve
Summary
Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. Prior to 2.8.4, the CSS selector parser in soupsieve allocates unbounded memory when compiling large comma-separated selector lists, allowing an attacker who can supply a crafted selector string to soupsieve.compile() or Beautiful Soup .select() / .select_one() to allocate hundreds of megabytes of heap memory from a relatively small input and cause denial of service. This issue is fixed in version 2.8.4.
Severity
7.5 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 14:26 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/facelessuser/soupsieve/securit… | x_refsource_CONFIRM |
| https://github.com/facelessuser/soupsieve/commit/… | x_refsource_MISC |
| https://github.com/facelessuser/soupsieve/release… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| facelessuser | soupsieve |
Affected:
< 2.8.4
|
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CVE-2026-49461 (GCVE-0-2026-49461)
Vulnerability from cvelistv5 – Published: 2026-06-22 20:27 – Updated: 2026-06-23 15:54
VLAI
EPSS
VEX
Title
pypdf: Possible large memory usage for form XObjects during text extraction
Summary
pypdf is a free and open-source pure-python PDF library. Prior to 6.12.2, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting the text of a page which contains a form XObject with self-references. This vulnerability is fixed in 6.12.2.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-23 12:23 UTC
CWE
- CWE-400 - Uncontrolled Resource Consumption
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/py-pdf/pypdf/security/advisori… | x_refsource_CONFIRM |
| https://github.com/py-pdf/pypdf/pull/3805 | x_refsource_MISC |
| https://github.com/py-pdf/pypdf/releases/tag/6.12.2 | x_refsource_MISC |
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CVE-2026-49361 (GCVE-0-2026-49361)
Vulnerability from cvelistv5 – Published: 2026-06-01 07:57 – Updated: 2026-06-01 16:48
VLAI
EPSS
VEX
Title
Apache Fluss Netty Frame Decoder Memory Exhaustion Vulnerability
Summary
Apache Fluss versions prior to 0.9.1 configure the Netty LengthFieldBasedFrameDecoder with Integer.MAX_VALUE as the maximum frame length, allowing unauthenticated remote attackers to exhaust JVM heap memory on TabletServer and CoordinatorServer by sending specially crafted frame headers, resulting in denial of service.
This issue affects Apache Fluss (incubating): 0.8.0 and 0.9.0.
Users are recommended to upgrade to version 0.9.1, which fixes the issue.
Severity
7.5 (High)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-01 16:48 UTC
CWE
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Apache Software Foundation | Apache Fluss (incubating) |
Affected:
0.8.0
(semver)
Affected: 0.9.0 (semver) |
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CVE-2026-49343 (GCVE-0-2026-49343)
Vulnerability from cvelistv5 – Published: 2026-08-07 22:18 – Updated: 2026-08-13 18:40
VLAI
EPSS
VEX
Title
Klever-Go KVM: Throttler slot leak in trie account-data sync causes epoch bootstrap / state sync DoS
Summary
Klever-Go is the Go implementation of the Klever blockchain protocol. In versions prior to 1.7.18, the account-data trie syncers are vulnerable to a resource-exhaustion flaw that leaks bounded throttler slots on error paths. In syncDataTrie() (in both userAccountsSyncer.go and kappAccountsSyncer.go), StartProcessing() reserves a slot from the NumGoRoutinesThrottler, but the corresponding EndProcessing() is only called on the success path and on the duplicate-root early return. As a result, any error from trie.NewTrie(), trie.NewTrieSyncer(), or trieSyncer.StartSyncing() (including the network-dependent timeout path) permanently consumes one slot for the lifetime of the throttler. An attacker who can repeatedly cause trie-node sync failures or timeouts during bootstrap can exhaust the bounded throttler, after which further account-data trie syncs stop making progress and SyncAccounts() returns a timeout. Because epoch bootstrap in syncUserAccountsState() and syncKappAccountsState() aborts on any such error, this causes bootstrap to fail, a core availability issue affecting fresh, restarting, or resyncing nodes and validators. This issue is fixed in version 1.7.18.
Severity
5.9 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-13 18:40 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/klever-io/klever-go/security/a… | x_refsource_CONFIRM |
| https://github.com/klever-io/klever-go/releases/t… | x_refsource_MISC |
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"value": "Klever-Go is the Go implementation of the Klever blockchain protocol. In versions prior to 1.7.18, the account-data trie syncers are vulnerable to a resource-exhaustion flaw that leaks bounded throttler slots on error paths. In syncDataTrie() (in both userAccountsSyncer.go and kappAccountsSyncer.go), StartProcessing() reserves a slot from the NumGoRoutinesThrottler, but the corresponding EndProcessing() is only called on the success path and on the duplicate-root early return. As a result, any error from trie.NewTrie(), trie.NewTrieSyncer(), or trieSyncer.StartSyncing() (including the network-dependent timeout path) permanently consumes one slot for the lifetime of the throttler. An attacker who can repeatedly cause trie-node sync failures or timeouts during bootstrap can exhaust the bounded throttler, after which further account-data trie syncs stop making progress and SyncAccounts() returns a timeout. Because epoch bootstrap in syncUserAccountsState() and syncKappAccountsState() aborts on any such error, this causes bootstrap to fail, a core availability issue affecting fresh, restarting, or resyncing nodes and validators. This issue is fixed in version 1.7.18."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 5.9,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-400",
"description": "CWE-400: Uncontrolled Resource Consumption",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-772",
"description": "CWE-772: Missing Release of Resource after Effective Lifetime",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-07T22:18:18.735Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/klever-io/klever-go/security/advisories/GHSA-fw38-pc54-jvx9",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/klever-io/klever-go/security/advisories/GHSA-fw38-pc54-jvx9"
},
{
"name": "https://github.com/klever-io/klever-go/releases/tag/v1.7.18",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/klever-io/klever-go/releases/tag/v1.7.18"
}
],
"source": {
"advisory": "GHSA-fw38-pc54-jvx9",
"discovery": "UNKNOWN"
},
"title": "Klever-Go KVM: Throttler slot leak in trie account-data sync causes epoch bootstrap / state sync DoS"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-49343",
"datePublished": "2026-08-07T22:18:18.735Z",
"dateReserved": "2026-05-29T14:35:45.903Z",
"dateUpdated": "2026-08-13T18:40:16.330Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
Mitigation
Architecture and Design
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
Architecture and Design
- 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
Architecture and Design
Ensure that protocols have specific limits of scale placed on them.
Mitigation
Implementation
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.