Skip to content

GHSA-jqm6-m3j3-8gg9 CVE-2019-7614

Concurrent Execution using Shared Resource with Improper Synchronization in Elasticsearch

Medium Maven
Severity
5.9 / 10
Medium · CVSS 3.0
Exploit chance (EPSS)
1.01%
Chance of exploitation in the next 30 days. Higher than 63.08% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-362 Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
Fix
6.8.2
Upgrade org.elasticsearch:elasticsearch to this version or later

Description

A race condition flaw was found in the response headers Elasticsearch versions before 7.2.1 and 6.8.2 returns to a request. On a system with multiple users submitting requests, it could be possible for an attacker to gain access to response header containing sensitive data from another user.

Affected versions

Maven

PackageVulnerableFixed in
org.elasticsearch:elasticsearch
< 6.8.2
6.8.2
org.elasticsearch:elasticsearch
>= 7.0.0, < 7.2.1
7.2.1

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

org.elasticsearch:elasticsearch Maven → 6.8.2

maven
<dependency><groupId>org.elasticsearch</groupId><artifactId>elasticsearch</artifactId><version>6.8.2</version></dependency>
gradle
implementation("org.elasticsearch:elasticsearch:6.8.2")

Severity breakdown

CVSS 3.0 5.9

CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N

Attack vector
Network
Attack complexity
High
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
None
Availability
None

Weakness

CWE-362: Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')

The product contains a concurrent code sequence that requires temporary, exclusive access to a shared resource, but a timing window exists in which the shared resource can be modified by another code sequence operating concurrently.

How to prevent it
  • Architecture and Design: In languages that support it, use synchronization primitives. Only wrap these around critical code to minimize the impact on performance.
  • Architecture and Design: Use thread-safe capabilities such as the data access abstraction in Spring.
  • Architecture and Design: Minimize the usage of shared resources in order to remove as much complexity as possible from the control flow and to reduce the likelihood of unexpected conditions occurring. Additionally, this will minimize the amount of synchronization necessary and may even help to reduce the likelihood of a denial of service where an attacker may be able to repeatedly trigger a critical section (CWE-400).
  • Implementation: When using multithreading and operating on shared variables, only use thread-safe functions.
  • Implementation: Use atomic operations on shared variables. Be wary of innocent-looking constructs such as "x++". This may appear atomic at the code layer, but it is actually non-atomic at the instruction layer, since it involves a read, followed by a computation, followed by a write.
  • Implementation: Use a mutex if available, but be sure to avoid related weaknesses such as CWE-412.
  • Implementation: Avoid double-checked locking (CWE-609) and other implementation errors that arise when trying to avoid the overhead of synchronization.
  • Implementation: Disable interrupts or signals over critical parts of the code, but also make sure that the code does not go into a large or infinite loop.
  • Implementation: Use the volatile type modifier for critical variables to avoid unexpected compiler optimization or reordering. This does not necessarily solve the synchronization problem, but it can help.
  • Architecture and Design, Operation: Run your code using the lowest privileges that are required to accomplish the necessary tasks [REF-76]. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-mrfm-jxgf-2h6v
Elasticsearch Improper Access Control vulnerability
High Known exploited Also affects org.elasticsearch:elasticsearch
GHSA-w94p-6mhw-4qxw
Improper Access Control in Elasticsearch
High Known exploited Also affects org.elasticsearch:elasticsearch
GHSA-mm3m-5497-xggg
Elasticsearch Uncontrolled Resource Consumption Vulnerability
High Also affects org.elasticsearch:elasticsearch
GHSA-5xm9-x7x4-4j5x
Elasticsearch Vulnerable to Stack Overflow due to a Large Recursion
High Also affects org.elasticsearch:elasticsearch
GHSA-jgx4-7v3v-vwfm
Elasticsearch allocation of resources without limits or throttling leads to crash
High Also affects org.elasticsearch:elasticsearch
GHSA-5mpw-4546-2wcr
Elasticsearch Incorrect Authorization vulnerability
Medium Also affects org.elasticsearch:elasticsearch
GHSA-5v8f-xx9m-wj44
Elasticsearch stores private key on disk unencrypted
High Also affects org.elasticsearch:elasticsearch
GHSA-2hjr-vmf3-xwvp
Elasticsearch Insertion of Sensitive Information into Log File
Medium Also affects org.elasticsearch:elasticsearch
Is this in your code?

MergeHarbor checks every repository's dependencies against this database, ranks what matters by exploitability and reachability, routes it to the owning team and opens the fix pull request.

Check your repos with MergeHarbor