Incorrect Authorization in Elasticsearch Leading to Information Disclosure

Incorrect Authorization (CWE-863) in Elasticsearch can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user whose index access is restricted by field-level security can retrieve the value of a constant_keyword field that their role excludes. Some search and query features do not apply the field-level security restriction to this field type.

Use of Cache Containing Sensitive Information in Elasticsearch Leading to Information Disclosure

Use of Cache Containing Sensitive Information (CWE-524) in Elasticsearch can lead to information disclosure and incorrect search results via specially crafted search requests. For some query types, Elasticsearch can share cached query results between users who have field-level security restrictions and users who do not. A user restricted by field-level security can learn which documents match a value in a field that they cannot read. A restricted user can also cause users with full access to receive incomplete search results. Disclosure is only possible when a user with full access ran the same query on the same shard recently.

Allocation of Resources Without Limits or Throttling in Elasticsearch Leading to Denial of Service

Allocation of Resources Without Limits or Throttling (CWE-770) in Elasticsearch can lead to denial of service via a specially crafted input value that is processed by an affected phonetic encoder of the analysis-phonetic plugin. An authenticated user with permission to write documents to or run searches against an index that uses an affected encoder can cause an Elasticsearch node to exhaust its heap memory. The node can become unresponsive or terminate.

Allocation of Resources Without Limits or Throttling in APM Server Leading to Denial of Service

Allocation of Resources Without Limits or Throttling (CWE-770) in APM Server can lead to denial of service via Oversized Serialized Data Payloads (CAPEC-231). An attacker who can send OpenTelemetry (OTLP) data to APM Server over HTTP can cause APM Server to exhaust its memory and terminate. This stops the intake of APM and OpenTelemetry data until APM Server restarts.

Authorization Bypass Through User-Controlled Key in Kibana Leading to Information Disclosure

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana Machine Learning can lead to information disclosure via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). An authenticated user with Machine Learning read access in one Kibana space can read the audit and error messages of data frame analytics jobs that belong to other spaces that the user is not authorized to access. These messages can include job details such as destination index names, analyzed field names, and failure information.

Insertion of Sensitive Information Into Sent Data in Kibana Leading to Credential Disclosure

Insertion of Sensitive Information Into Sent Data (CWE-201) in Kibana Observability onboarding can lead to disclosure of the credentials that Kibana uses to connect to Elasticsearch. When these credentials are embedded in the Elasticsearch host URLs in the Kibana configuration, an authenticated user with the privileges to onboard Observability data can obtain them. The user can then access Elasticsearch directly with the privileges of the Kibana service account, which are outside the privileges granted to that user.

Improper Limitation of a Pathname to a Restricted Directory in Kibana Leading to Unauthorized Resource Deletion

Improper Limitation of a Pathname to a Restricted Directory (CWE-22) in the Kibana Fleet feature can lead to unauthorized resource deletion via Path Traversal (CAPEC-126). A low-privileged user with Fleet agent policies write access could cause a subsequent administrative action to act on unintended resources. This can result in the deletion of resources such as Kibana spaces and other organizational assets that the low-privileged user cannot delete directly. Exploitation requires an administrator to interact with the affected Fleet interface.

A logic issue was addressed with improved checks. This issue is fixed in macOS Golden Gate 27.2, macOS Sequoia 15.8.2, macOS Tahoe 26.7.2. An app may be able to gain root privileges.

Exported Component Permission Leak in lz233 Tarnhelm v1.8.2

Insecure permissions in lz233 Tarnhelm v1.8.2 (versionCode 20250630) allows unauthorized attackers to invoke an exported component, leading to arbitrary data access and overwriting.

Insecure SMS code capture permissions in Code Catcher enable unauthorized manipulation

Insecure permissions in Code Catcher versionCode 131 allow unauthorized attackers to arbitrarily manipulate the app's SMS-code-capture mechanism.

Arbitrary Code Execution via Malicious POST to Motion UI WebView

An issue in the WebView rendering path component of MotionCreative Motion UI versionCode 101 allows attackers to execute arbitrary code via supplying a crafted POST request.

Nextcloud Android Client Forces Logout for Profile Takeover

An issue in Nextcloud versionCode 30390190 allows attackers to force victim users to logout of their accounts and switch to an attacker controlled progile, bypassing authentication.

Post-authentication Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability has been identified in the End-of-Life SonicWall GMS 9.5.2 and earlier versions which in specific conditions could potentially allow an authenticated attacker to access or modify information stored in the GMS database.

Incomplete Security Scanner Blocklist Enables Network-Based Code Execution

IBM Langflow OSS 1.0.0 through 1.10.0 can allow attackers to execute arbitrary Python code with root privileges (UID=0) on the Langflow server by submitting components containing socket or urllib imports. This enables: (1) AWS credential theft via IMDSv1 SSRF with full IAM role permissions, (2) arbitrary file exfiltration from the container filesystem, and (3) lateral movement to internal services (PostgreSQL, Redis) within the Docker network. The scanner incorrectly returns "validated": true, providing a false security signal.

Langflow is vulnerable to server-side request forgery due to missing egress validation on server-side URL fetches

IBM Langflow OSS 1.0.0 through 1.11.5 is vulnerable to server-side request forgery (SSRF). This may allow an unauthenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks.

Langflow is vulnerable to Server-Side Request Forgery due to missing or bypassable URL validation in multiple components

IBM Langflow OSS 1.0.0 through 1.11.2 is vulnerable to server-side request forgery (SSRF). This may allow an authenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks.

Langflow OSS is affected by server-side request forgery due to missing URL validation in flow components

IBM Langflow OSS 1.0.0 through 1.10.2 is vulnerable to server-side request forgery (SSRF). This may allow an unauthenticated attacker to send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks.

Langflow is vulnerable to authentication bypass and insufficient session expiration

IBM Langflow OSS 1.0.0 through 1.11.5 could allow an authenticated attacker to access another user's MCP server context due to improper cache key isolation in the MCP Tools component.

Langflow is affected by improper authentication due to missing password verification in the password reset endpoint

IBM Langflow OSS 1.0.0 through 1.10.2 could allow a remote authenticated attacker to change the password of an account due to improper authentication.

erlang-jose RSA JWK parsing attempts to factor an attacker-controlled modulus, enabling CPU-exhaustion denial of service

Inefficient Algorithmic Complexity in erlang-jose allows an unauthenticated remote attacker to cause a CPU-exhaustion denial of service by submitting a crafted RSA JSON Web Key. When an application parses an untrusted JWK through the public jose_jwk:from_binary/1 or jose_jwk:from_map/1 API (or the Elixir wrappers JOSE.JWK.from_binary/1 and JOSE.JWK.from_map/1), an RSA private key that supplies d, e, and n but omits all Chinese Remainder Theorem parameters (p, q, dp, dq, qi) is routed into convert_sfm_to_crt/1, which tries to recover the missing primes by factoring the modulus. The three integers are read straight from the base64url input and are never validated as a real RSA key. When the modulus cannot be split into two factors (for example, when it is itself prime), the search loop convert_sfm_to_crt_find_p/6 performs a modular exponentiation over the attacker-sized modulus on every iteration and never succeeds. A single request of a few hundred bytes forces close to one CPU-second of work before an internal one-second watchdog kills the worker, and a larger modulus raises the cost further. By flooding such requests an attacker can saturate every scheduler and deny service, without credentials, a valid RSA key, or any special configuration. This issue affects jose: from 1.7.7 before 1.11.13.