Security Resilience

CVE-2026-32714

SQLi in Scitokens Library ≤ 1.9.6

Public PoCSQLi
Published
31 March 2026
Modified
03 April 2026
Patch / advisory
View advisory
CVSS Score v3.1 9.8
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0057 47th percentile
Risk Priority 72 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2026-32714 is a critical-severity SQL Injection (CWE-89) vulnerability in Scitokens Scitokens Library. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Compromise Infrastructure (T1584); ranked at the 47th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2026-32714 is a SQL injection vulnerability (CWE-89) in the KeyCache class of the SciTokens Python library, a reference implementation for generating and using SciTokens prior to version 1.9.6. The flaw arises from using Python's str.format() method to construct SQL queries with untrusted user-supplied inputs, such as issuer and key_id values, against a local SQLite database. This issue earned a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), reflecting its critical severity due to high impacts on confidentiality, integrity, and availability.

The vulnerability can be exploited remotely by unauthenticated attackers with network access and no user interaction required. By crafting malicious issuer or key_id inputs, attackers can inject and execute arbitrary SQL commands on the local SQLite database used by KeyCache, potentially allowing full read, modification, or deletion of cached key data.

The vulnerability has been patched in SciTokens version 1.9.6, as detailed in the project's GitHub security advisory (GHSA-rh5m-2482-966c), release notes, and the fixing commit (3dba108853f2f4a6c0f2325c03779bf083c41cf2). Security practitioners should upgrade to version 1.9.6 or later and review deployments using earlier versions of the library for exposure.

OWASP Top 10 for Web (2025)

A05:2025 Injection

EU & UK References

Vulnerability Data

SciTokens is a reference library for generating and using SciTokens. Prior to version 1.9.6, the KeyCache class in scitokens was vulnerable to SQL Injection because it used Python's str.format() to construct SQL queries with user-supplied data (such as issuer and…

more

key_id). This allowed an attacker to execute arbitrary SQL commands against the local SQLite database. This issue has been patched in version 1.9.6.

CWE(s)
CWE-89

Related Threats

MITRE ATT&CK Enterprise Techniques

T1584 Compromise Infrastructure Resource Development
Adversaries may compromise third-party infrastructure that can be used during targeting.
attack.mitre.org →
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
T1211 Exploitation for Stealth Stealth
Adversaries may exploit vulnerabilities to evade detection by hiding activity, suppressing logging, or operating within trusted or unmonitored components.
attack.mitre.org →
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
attack.mitre.org →
T1491.002 External Defacement Impact
An adversary may deface systems external to an organization in an attempt to deliver messaging, intimidate, or otherwise mislead an organization or users.
attack.mitre.org →
T1599 Network Boundary Bridging Defense Impairment
Adversaries may bridge network boundaries by compromising perimeter network devices or internal devices responsible for network segmentation.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-1797Shared CWE-89
CVE-2021-20028Shared CWE-89
CVE-2023-24729Shared CWE-89
CVE-2023-50752Shared CWE-89
CVE-2024-27718Shared CWE-89
CVE-2024-35548Shared CWE-89
CVE-2024-7365Shared CWE-89
CVE-2024-8868Shared CWE-89
CVE-2024-29320Shared CWE-89
CVE-2022-0513Shared CWE-89

Affected Assets

scitokens
scitokens library
≤ 1.9.6

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)

—

Validate
Prove the fix (OWASP ASVS)
  • V6.2.5

Mitigating Controls (NIST 800-53 r5) AI

SA-11 Developer Testing and Evaluation good match

Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.

SI-10 Information Input Validation good match

Input validation directly stops untrusted data from reaching SQL query construction without neutralization.

SA-8 Security and Privacy Engineering Principles partial match

Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.

SI-4 System Monitoring partial match

System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
blocks

Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.

PR.AT-02 partial match
blocks

Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.29 Security testing in development and acceptance full match
finds

The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.

A.8.28 Secure coding partial match
prevents

Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.

A.8.8 Management of technical vulnerabilities partial match
finds

created from the owner's anchor; an owner grade is a row and does not wait for an instrument (Mythos 2026-09-29T15:58Z).

References