Свежие уязвимости · Страница 41

WeGIA: Systemic IDOR + Missing CSRF — extract($_REQUEST) in All Controle Classes

WeGIA is a web manager for charitable institutions. Prior to the advisory's stated patched version 3.8.7, the `/controle/control.php` dispatch endpoint accepts attacker-controlled `nomeClasse`, `metodo`, and record identifier parameters through `extract($_REQUEST)`, including id, `idatendido`, `idInterno`, and `id_funcionario`, while the affected Controle CRUD methods do not verify record ownership. Any authenticated user can view, modify, or delete another user's records, exposing CPF, RG, addresses, medical records, financial data, and employee records. `AtendidoControle` lacks ownership checks on alterar, excluir, `listarUm`, `alterarInfPe

Lightdash: Unauthenticated dbt Cloud webhook with path injection leaks API key

Lightdash is an open source business intelligence platform. In affected versions through 0.3213.0, the dbt Cloud webhook `POST /api/v1/projects/{projectUuid}/dbt-cloud/webhook` has no authentication middleware or signature validation. In `packages/backend/src/controllers/projectController.ts`, `testWebhook()` accepts `accountId` and `runId` from a `job.run.completed` request and passes them to `createPreviewWithExplores()` in `packages/backend/src/services/ProjectService/ProjectService.ts`. These unsanitized values are interpolated into the server-side dbt Cloud API URL, which is requested with the victim project's API key in the `Authorizati

Docat has Arbitrary File Upload exists in Upload API

Docat is a tool for hosting versioned static documentation. In the affected implementation, an arbitrary file upload vulnerability in the `Upload API` arises because the API does not validate the `uploaded file path or type`. An attacker can overwrite sensitive configuration files or place malicious files on the Docat web server. Depending on deployment context, uploaded content can enable remote code execution or cross-site scripting intended to steal cookies or redirect users to malicious websites. Version 1.6.0 mitigates filename-based path traversal; remediation of unrestricted file types or deployment-dependent malicious-content effects

OpenAM Session Hijacking via CDSSO

Open Access Management (OpenAM) is an access management solution. Prior to 16.1.1, the `Cross-Domain Single Sign-On` (`CDSSO`) servlet allows a logged-in user's raw OpenAM session token to be POSTed to an attacker-controlled URL. An attacker who induces an authenticated victim to visit a crafted URL can receive the session credential and potentially hijack the session. Deployments must have `CDSSO` enabled, as is common in multi-domain deployments, and exploitation is additionally gated on a non-default configuration being absent. This issue is fixed in version 16.1.1.

Incorrect Authorization

On Linux, an authenticated, low-privileged Nessus user with scan-creation rights could read arbitrary text files on the scanner host with the privileges of the nessusd process by running a custom Unix compliance audit against the scanner itself.

joserfc: Unbounded JWE General JSON `recipients` Array Leads to CPU Exhaustion (DoS) via Repeated RSA Private-Key Decryption

joserfc is a Python library that provides an implementation of several JSON Object Signing and Encryption (JOSE) standards. Prior to 1.7.5, joserfc.jwe.decrypt_json() accepts a JWE General JSON Serialization recipients array without a count limit and calls decrypt_cek() for every entry. An unauthenticated attacker who can submit a JWE to an endpoint using an RSA key-management algorithm can choose the number of private-key decryption operations performed by one request. The verify_all_recipients option does not reduce this work because the affected loop processes every recipient before consulting that setting, allowing repeated requests to ex

• Обновитесь до 1.7.5
• Обновитесь до 1.7.5-1

Nx: OS command injection via nx.json plugin options in @nx/maven and @nx/gradle

Nx is a monorepo solution for TypeScript and polyglot codebases. From 22.0.2 until 22.7.9 and 23.1.2 for @nx/maven, and from 21.0.0 until 22.7.9 and 23.1.2 for @nx/gradle, the plugins' project-graph analyzers launch through a shell and interpolate plugin options from nx.json into command arguments. The @nx/maven targetNamePrefix value and arbitrary @nx/gradle option names or values can therefore be interpreted as shell syntax whenever an nx command constructs the project graph. A user who runs Nx in an attacker-controlled repository or pull request can execute injected commands with the user's privileges, while workspaces that register neithe

• Обновитесь до 22.7.9
• Обновитесь до 23.1.2

Boundary vulnerable to server-side request forgery in Vault credential store

HashiCorp Boundary and Boundary Enterprise are vulnerable to a server-side request forgery in the Vault credential store integration that may allow an authenticated user with permission to manage credential stores and credential libraries within a project to cause the Boundary controller to issue outbound requests to a network destination of the requester's choosing and to receive the response. This may expose endpoints reachable only from the controller's host, such as a cloud instance metadata service. This vulnerability, CVE-2026-13303, is fixed in Boundary Enterprise 1.0.2 and 0.21.6.

• Обновитесь до 0.21.6

Lightdash: Unauthenticated dbt Cloud webhook with path injection leaks API key

Lightdash is an open source business intelligence platform. In affected versions through 0.3213.0, the dbt Cloud webhook `POST /api/v1/projects/{projectUuid}/dbt-cloud/webhook` has no authentication middleware or signature validation. In `packages/backend/src/controllers/projectController.ts`, `testWebhook()` accepts `accountId` and `runId` from a `job.run.completed` request and passes them to `createPreviewWithExplores()` in `packages/backend/src/services/ProjectService/ProjectService.ts`. These unsanitized values are interpolated into the server-side dbt Cloud API URL, which is requested with the victim project's API key in the `Authorizati

MariaDB Connector/J: Server could switch character_set_results away from UTF-8 without the client noticing

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, the connector assumed result bytes were UTF-8 but guarded only changes to character_set_client. It did not reject non-UTF-8 character_set_results changes and relied on the server's global session_track_system_variables configuration to report character-set changes. A malicious or compromised server, or a machine-in-the-middle attacker, could suppress tracking or change the result charset so application strings differed from the returned bytes, potentially defeating application-side validation or esca

MariaDB Connector/J : XA recover() trusted server-supplied gtrid and bqual lengths

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, the MariaDbPoolConnection.recover() and MariaDbPoolPinnedConnection.recover() implementations trusted the gtrid_length and bqual_length columns returned by XA RECOVER. The methods allocated and split Xid byte arrays without validating the lengths against Xid.MAXGTRIDSIZE, Xid.MAXBQUALSIZE, or the actual data payload. A malicious or compromised server, or a machine-in-the-middle attacker, could cause large allocations, NegativeArraySizeException, or ArrayIndexOutOfBoundsException during XA recovery. T

MariaDB Connector/J: Length-encoded integers larger than Integer.MAX_VALUE were truncated before being used as lengths

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.10, the ReadableByteBuf.readLength() and ReadableByteBuf.readIntLengthEncodedNotNull() methods narrowed the protocol's unsigned 8-byte length-encoded integer to a Java int without checking that the value fit a non-negative integer. Values above Integer.MAX_VALUE could wrap to a negative or unrelated length that downstream allocation and read paths used. A malicious or compromised server, or a machine-in-the-middle attacker, could trigger NegativeArraySizeException, out-of-bounds failures, or oversized al

• Обновитесь до 3.5.10-1

MariaDB Connector/J: Rogue server can crash the client during caching_sha2_password authentication

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7 and 3.4.5, during caching_sha2_password authentication, the authentication-more-data response was treated as a length-encoded byte array, memory was allocated from the server-declared length, and authResult[0] was accessed without ensuring a byte existed. A malicious or compromised server, or a machine-in-the-middle attacker, could declare a very large length or send an empty response before any password was transmitted. The malformed packet could cause excessive allocation or an unchecked ArrayIndexOutOfBoundsException

• Обновитесь до 3.5.10-1

MariaDB Connector/J: Rogue server can make the client read past the packet through server-declared lengths

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, decoders for OK packet session-state blocks, column definition packets, text row data, or binary row data used server-declared lengths without confirming that the requested bytes remained in the receive buffer. The decoders could position reads, create sub-buffers, or decode strings beyond the packet boundary. A malicious or compromised server, or a machine-in-the-middle attacker, could trigger unchecked ArrayIndexOutOfBoundsException or IllegalArgumentException failures inside JDBC calls and termina

MariaDB Connector/J: Rogue server can drive large heap allocations from server-declared lengths in OK packets

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, when CLIENT_SESSION_TRACK was negotiated, the OkPacket.parse() and OkPacket.parseWithInfo() paths allocated byte arrays using server-declared lengths for the OK packet info field and session-state variable names and values before confirming that the bytes remained in the packet. A malicious or compromised server, or a machine-in-the-middle attacker, could send a small OK packet declaring a much larger length and repeatedly force attacker-controlled heap allocations before the subsequent copy failed.

MariaDB Connector/J: LOAD DATA LOCAL INFILE file check could be satisfied by text inside quoted identifiers, letting a malicious server read client files

MariaDB Connector/J is used to connect applications developed in Java to MariaDB and MySQL databases. From 3.0.0 until 3.3.7, 3.4.5, and 3.5.11, the ClientMessage.validateLocalFileName() check used a regular expression that could match LOAD DATA LOCAL INFILE text inside quoted identifiers, string literals, or comments instead of requiring a real statement. A malicious or compromised server, or a machine-in-the-middle attacker, could return crafted database or table identifiers that the connector reused in metadata or updatable-result queries, then answer with a LOCAL INFILE request for a client file. With allowLocalInfile enabled, this caused

pypdf: Possible large memory usage when parsing cross-reference streams

pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory while opening a crafted PDF containing cross-reference streams that declare very large entry counts. Highly compressible streams and /Prev chains can multiply the number of parsed entries across a document, while negative /Index counts can bypass the existing per-stream clamp. This issue is fixed in version 6.21.3.

• Обновитесь до 6.21.3

pypdf: Possible long runtimes/large memory usage for encrypted PDF files

pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive time and memory when an application accesses the page count of a crafted encrypted PDF whose page tree declares a forged /Count value. Even after successful decryption, page-count retrieval trusts the unvalidated declared count instead of walking the page tree, allowing the attacker-controlled value to drive excessive work and memory use. This issue is fixed in version 6.21.3.

• Обновитесь до 6.21.3

pypdf: Possible large memory usage for exceptions in strict mode

pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can consume excessive memory when strict mode loads a crafted invalid PDF dictionary. Nested parsing failures add repeated exception text to newly raised errors, allowing a small malformed dictionary to amplify into very large error messages. This issue is fixed in version 6.21.3.

• Обновитесь до 6.21.3

pypdf: Possible long runtimes when retrieving page labels

pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can take excessive time to retrieve page labels from a crafted PDF containing a flat page-label number tree with many ranges. The page_labels property resolves each page independently and repeatedly scans the same /Nums array from the beginning, causing work to grow with both the page count and the number of label ranges. This issue is fixed in version 6.21.3.

• Обновитесь до 6.21.3