VulnerabilityPublished 16 Sep 2026

CVE-2026-76426: Cisco Identity Services Engine Software · SQL Injection

Affects Cisco Identity Services Engine SoftwareSource CVE Database V5

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Not known to be exploited · CVSS 4.9 Medium.

Data as of 31 Oct 2026, 20:20 UTC

CVSS 3.1 base score

4.9Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.4% chance of exploitation in 30 days – higher than 41% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:N/A:N

Attack Vector: Network
Attack Complexity: Low
Privileges Required: High
User Interaction: None
Scope: Unchanged
Confidentiality: High
Integrity: None
Availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: High: The attacker is authorized with (i.e., requires) privileges that provide significant (e.g., administrative) control over the vulnerable component that could affect component-wide settings and files.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: None: There is no impact to availability within the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 16 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 31 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponized: A Metasploit exploit module or Exploit-DB entry exists (Metasploit scanner modules do not count), or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
CiscoCisco Identity Services Engine Software	Affected 3.1.0 – 3.5.0 5 affected builds	Fixed in–
CiscoCisco ISE Passive Identity Connector	Affected 3.1.0 – 3.5.0 5 affected builds	Fixed in–

AI-suggested

Until a fix is available, restrict administrative access to the REST API to trusted users only and monitor for suspicious activity.

Description

CVE-2026-76426 is a medium severity SQL injection vulnerability in the REST API of Cisco Identity Services Engine (ISE) software. It affects versions 3.1.0, 3.2.0, 3.3.0, 3.4.0, and 3.5.0. An authenticated attacker with valid administrative credentials could exploit insufficient input validation to inject SQL commands into the monitoring database. Successful exploitation could allow the attacker to read sensitive information from the monitoring database. No known exploits are reported in the wild, and no patch or remediation details are provided in the input data.

Impact

An attacker with valid administrative credentials can exploit this vulnerability to read sensitive information from the monitoring database. There is no indication of impact on data integrity or system availability. The vulnerability requires high privileges (administrative access) and network access to the REST API.

Summary

This vulnerability arises from improper neutralization of special elements in SQL commands within the REST API of Cisco ISE and Cisco ISE-PIC. Specifically, certain parameters are concatenated directly into SQL statements without sufficient validation, enabling an authenticated remote attacker with administrative privileges to perform SQL injection attacks against the monitoring database. The vulnerability affects Cisco ISE software versions 3.1.0 through 3.5.0. The CVSS v3.1 base score is 4.9, reflecting a medium severity with high confidentiality impact but no integrity or availability impact.

References

sec.cloudapps.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-ise-multi-hrP9jQSQ (opens in a new tab)

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 24 Sep 2026, 05:36 UTC

Technical details

References

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