Monthly
Denial of service in Kibana's analytics collections management endpoint allows any authenticated user with viewer-level access to render the service completely unavailable. By submitting a request containing an oversized input value, the attacker causes Kibana to consume excessive CPU and memory, crashing the service for all users and requiring manual intervention to restore. No public exploit has been identified at time of analysis, and the vulnerability is not listed in CISA KEV, but the low privilege bar - viewer access only - significantly elevates real-world risk in multi-tenant or SaaS Elastic deployments.
Denial of service in Elastic Kibana allows an authenticated low-privileged user to crash the Kibana service and deny access to all users by submitting a maliciously crafted Timelion visualization expression. The Timelion expression parser fails to bound the depth of chained function call processing, causing the resulting data structure to grow exponentially and exhaust available server memory. No public exploit has been identified at time of analysis, and this vulnerability is not listed in the CISA KEV catalog; however, the low attack complexity and minimal privilege requirements make it an accessible attack surface for any credentialed Kibana user.
Denial of service in Kibana allows any authenticated user to crash or render unresponsive a Kibana instance by sending a specially crafted compressed HTTP request payload. The root cause is an architectural ordering flaw: compressed payloads are decompressed and processed before authorization checks are applied, enabling resource exhaustion (CWE-400, CAPEC-130 Excessive Allocation) at minimal privilege cost. No public exploit identified at time of analysis and no CISA KEV listing, but the low attack complexity and broad authentication base (any valid Kibana login) make this a meaningful availability risk for multi-tenant or internet-exposed deployments.
Denial of service in Kibana allows any authenticated low-privileged user to render the Kibana service unresponsive for all users by submitting an oversized, specially crafted payload to an internal API endpoint. The CVSS vector (AV:N/AC:L/PR:L/UI:N/A:H) confirms straightforward network exploitation requiring only valid low-privileged credentials with no user interaction - a low barrier for any insider or compromised account. No public exploit code and no CISA KEV listing have been identified at time of analysis, though the low complexity and authenticated-but-low-privilege condition makes this a realistic risk in shared Kibana deployments.
Uncontrolled PCRE backtracking in Symfony's JsonPath component allows denial of service when attacker-influenced JSONPath expressions containing match() or search() filters are evaluated server-side. Affected applications that pass user-supplied JSONPath queries to JsonCrawler::find() can be made to execute catastrophically backtracking patterns such as '(a+)+$', pinning a CPU core for several seconds per request; a small number of concurrent requests can exhaust the entire PHP worker pool. The vulnerability is compounded by error suppression (@preg_match) that silences PCRE backtrack-limit exceptions, producing no log trace of the attack. No public exploit code and no CISA KEV listing are identified at time of analysis, but the advisory itself provides a working proof-of-concept pattern.
Uncontrolled resource consumption in PyJWT 2.8.0-2.12.1 exposes any service that verifies detached JWS tokens to unauthenticated denial-of-service. When the unencoded-payload extension (b64=false, RFC 7797) is in use, PyJWT unnecessarily Base64URL-decodes the compact-serialization payload segment before discarding it in favor of the caller-supplied detached payload - turning that segment into an attacker-controlled amplifier for CPU and memory exhaustion regardless of signature validity. No public exploit has been identified at time of analysis, but the CVSS vector (AV:N/AC:L/PR:N/UI:N) confirms fully unauthenticated remote exploitation against any affected endpoint using this feature.
Memory exhaustion in pypdf prior to 6.12.0 allows an attacker who supplies a crafted PDF to cause large memory consumption in any application that processes it using layout mode text extraction. The vulnerability is triggered by PDFs containing text positioning operators with abnormally large x- or y-coordinate offsets, causing the library to allocate unbounded whitespace and newline characters during rendering. No confirmed active exploitation exists (not in CISA KEV), and SSVC rates this as non-automatable with partial technical impact, placing it in a lower operational priority tier despite the straightforward exploitation mechanic.
{{ x | date: f }}` can generate multi-megabyte output or trigger an out-of-memory crash of the host Node.js process. Publicly available exploit code (a verified PoC) exists; there is no CISA KEV listing and no EPSS score in the provided data.
Denial of service in IBM Langflow OSS 1.0.0 through 1.9.0 lets a low-privileged, authenticated remote attacker drive uncontrolled resource consumption (CWE-400) to degrade or crash the service, with a high availability impact and a minor confidentiality exposure per the CVSS vector. The flaw is network-reachable, requires no user interaction, and needs only a low-privilege account. There is no public exploit identified at time of analysis, it is not listed in CISA KEV, and no EPSS score was supplied.
Memory exhaustion in IBM Db2 11.5.x and 12.1.x allows an authenticated remote attacker to crash the database engine by submitting certain queries targeting Multi-Dimensional Clustering (MDC) tables, resulting in a denial of service. The vulnerability carries a CVSS 6.5 score with network-accessible attack vector and low-privilege requirement, meaning any valid database user can trigger it. No active exploitation has been identified at time of analysis; SSVC rates exploitation status as none and technical impact as partial.
Denial of service in Kibana's analytics collections management endpoint allows any authenticated user with viewer-level access to render the service completely unavailable. By submitting a request containing an oversized input value, the attacker causes Kibana to consume excessive CPU and memory, crashing the service for all users and requiring manual intervention to restore. No public exploit has been identified at time of analysis, and the vulnerability is not listed in CISA KEV, but the low privilege bar - viewer access only - significantly elevates real-world risk in multi-tenant or SaaS Elastic deployments.
Denial of service in Elastic Kibana allows an authenticated low-privileged user to crash the Kibana service and deny access to all users by submitting a maliciously crafted Timelion visualization expression. The Timelion expression parser fails to bound the depth of chained function call processing, causing the resulting data structure to grow exponentially and exhaust available server memory. No public exploit has been identified at time of analysis, and this vulnerability is not listed in the CISA KEV catalog; however, the low attack complexity and minimal privilege requirements make it an accessible attack surface for any credentialed Kibana user.
Denial of service in Kibana allows any authenticated user to crash or render unresponsive a Kibana instance by sending a specially crafted compressed HTTP request payload. The root cause is an architectural ordering flaw: compressed payloads are decompressed and processed before authorization checks are applied, enabling resource exhaustion (CWE-400, CAPEC-130 Excessive Allocation) at minimal privilege cost. No public exploit identified at time of analysis and no CISA KEV listing, but the low attack complexity and broad authentication base (any valid Kibana login) make this a meaningful availability risk for multi-tenant or internet-exposed deployments.
Denial of service in Kibana allows any authenticated low-privileged user to render the Kibana service unresponsive for all users by submitting an oversized, specially crafted payload to an internal API endpoint. The CVSS vector (AV:N/AC:L/PR:L/UI:N/A:H) confirms straightforward network exploitation requiring only valid low-privileged credentials with no user interaction - a low barrier for any insider or compromised account. No public exploit code and no CISA KEV listing have been identified at time of analysis, though the low complexity and authenticated-but-low-privilege condition makes this a realistic risk in shared Kibana deployments.
Uncontrolled PCRE backtracking in Symfony's JsonPath component allows denial of service when attacker-influenced JSONPath expressions containing match() or search() filters are evaluated server-side. Affected applications that pass user-supplied JSONPath queries to JsonCrawler::find() can be made to execute catastrophically backtracking patterns such as '(a+)+$', pinning a CPU core for several seconds per request; a small number of concurrent requests can exhaust the entire PHP worker pool. The vulnerability is compounded by error suppression (@preg_match) that silences PCRE backtrack-limit exceptions, producing no log trace of the attack. No public exploit code and no CISA KEV listing are identified at time of analysis, but the advisory itself provides a working proof-of-concept pattern.
Uncontrolled resource consumption in PyJWT 2.8.0-2.12.1 exposes any service that verifies detached JWS tokens to unauthenticated denial-of-service. When the unencoded-payload extension (b64=false, RFC 7797) is in use, PyJWT unnecessarily Base64URL-decodes the compact-serialization payload segment before discarding it in favor of the caller-supplied detached payload - turning that segment into an attacker-controlled amplifier for CPU and memory exhaustion regardless of signature validity. No public exploit has been identified at time of analysis, but the CVSS vector (AV:N/AC:L/PR:N/UI:N) confirms fully unauthenticated remote exploitation against any affected endpoint using this feature.
Memory exhaustion in pypdf prior to 6.12.0 allows an attacker who supplies a crafted PDF to cause large memory consumption in any application that processes it using layout mode text extraction. The vulnerability is triggered by PDFs containing text positioning operators with abnormally large x- or y-coordinate offsets, causing the library to allocate unbounded whitespace and newline characters during rendering. No confirmed active exploitation exists (not in CISA KEV), and SSVC rates this as non-automatable with partial technical impact, placing it in a lower operational priority tier despite the straightforward exploitation mechanic.
{{ x | date: f }}` can generate multi-megabyte output or trigger an out-of-memory crash of the host Node.js process. Publicly available exploit code (a verified PoC) exists; there is no CISA KEV listing and no EPSS score in the provided data.
Denial of service in IBM Langflow OSS 1.0.0 through 1.9.0 lets a low-privileged, authenticated remote attacker drive uncontrolled resource consumption (CWE-400) to degrade or crash the service, with a high availability impact and a minor confidentiality exposure per the CVSS vector. The flaw is network-reachable, requires no user interaction, and needs only a low-privilege account. There is no public exploit identified at time of analysis, it is not listed in CISA KEV, and no EPSS score was supplied.
Memory exhaustion in IBM Db2 11.5.x and 12.1.x allows an authenticated remote attacker to crash the database engine by submitting certain queries targeting Multi-Dimensional Clustering (MDC) tables, resulting in a denial of service. The vulnerability carries a CVSS 6.5 score with network-accessible attack vector and low-privilege requirement, meaning any valid database user can trigger it. No active exploitation has been identified at time of analysis; SSVC rates exploitation status as none and technical impact as partial.