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🛡️ CVE-2023-30534 — cacti

🟡 CVSS 4.3 — Medium ⚠️ Exploit Public CWE-502 NVD
4.3
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

Cacti is an open source operational monitoring and fault management framework. There are two instances of insecure deserialization in Cacti version 1.2.24. While a viable gadget chain exists in Cacti’s vendor directory (phpseclib), the necessary gadgets are not included, making them inaccessible and the insecure deserializations not exploitable. Each instance of insecure deserialization is due to using the unserialize function without sanitizing the user input. Cacti has a “safe” deserialization that attempts to sanitize the content and check for specific values before calling unserialize, but it isn’t used in these instances. The vulnerable code lies in graphs_new.php, specifically within the host_new_graphs_save function. This issue has been addressed in version 1.2.25. Users are advised to upgrade. There are no known workarounds for this vulnerability.

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs low-level privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality low, integrity none, availability none.

CVSS metrics in full

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

  • Attack vector: Network — reachable from anywhere that can route to the service.
  • Attack complexity: Low — the attack works reliably, with no preparation.
  • Privileges required: Low — an ordinary user account is enough.
  • User interaction: None — nobody has to be tricked into anything.
  • Scope: Unchanged — the damage stays inside the vulnerable component.
  • Confidentiality impact: Low — limited, and the attacker does not choose what is affected.
  • Integrity impact: None.
  • Availability impact: None.

Weakness class

CVE-2023-30534 is classified as CWE-502: Deserialization of Untrusted Data. Serialised data from an untrusted source is reconstructed into objects, which can trigger code during the process.

Affected software

CVE-2023-30534 is recorded against 2 packages.

  • cacti (fixed in 1.2.25)
  • fedora

Timeline and source

Published on 5 September 2023 and last revised on 17 June 2026. A public exploit is known to exist, which raises the urgency of patching considerably. Record sourced from NVD.

References

github.com
lists.fedoraproject.org
lists.fedoraproject.org
lists.fedoraproject.org
www.fastly.com
github.com
lists.fedoraproject.org
lists.fedoraproject.org
lists.fedoraproject.org
www.fastly.com

Other advisories for this package

cacti 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-502: Deserialization of Untrusted Data) in other software:

CVE-2023-30534 on other distributions

Each distribution ships its own build and its own fixed version. Pick the one you run:

Details

Severity MEDIUM
CVSS Score 4.3
CVSS Vector CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
CWE CWE-502
Public Exploit ⚠️ Yes
Source NVD
Published 2023-09-05
Updated 2026-08-20
Modified 2026-06-17
Fix URL N/A

Affected Packages

Software From version Fixed in
cacti — 1.2.25
fedora — —

References

Similar Threats

Exploit Protection

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CVE-2023-30534 carries CVSS 4.3 Medium rating and a public exploit already exists. 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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