Cyber Resilience

CVE-2021-35484

SQLi in Nokia Impact ≤ 19.11.2.10-20210118042150283

Published
03 March 2026
Modified
05 March 2026
Patch / advisory
CVSS Score v3.1 8.2
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:L/A:N
EPSS Score 0.0024 15th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2021-35484 is a high-severity SQL Injection (CWE-89) vulnerability in Nokia Impact. Its CVSS base score is 8.2 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 15th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SI-2 (Flaw Remediation) — 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-2021-35484 is a Time-based Boolean Blind SQL Injection vulnerability (CWE-89) affecting Nokia IMPACT through version 19.11.2.10-20210118042150283. The issue resides in the /ui/rest-proxy/campaign/statistic endpoint, used for the View Campaign page, where the sortColumn HTTP GET parameter fails to properly sanitize input, enabling SQL injection attacks. The vulnerability has a CVSS v3.1 base score of 8.2 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N), highlighting high confidentiality impact with network accessibility and low attack complexity.

An authenticated user can exploit this vulnerability remotely by crafting malicious sortColumn parameter values to conduct time-based blind SQL injection. Successful exploitation allows extraction of sensitive data from the database, including the database user credentials, database name, and database version information.

Advisories and additional details are available from Gruppo TIM at https://www.gruppotim.it/it/footer/red-team/2021/Motive-Impact-CVE-2021-35484.html, Nokia's IMPACT IoT platform page at https://www.nokia.com/networks/solutions/impact-iot-platform/, and Nokia's responsible disclosure notice at https://www.nokia.com/notices/responsible-disclosure/. Practitioners should consult these for patch information and mitigation guidance.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Nokia IMPACT through 19.11.2.10-20210118042150283 allows an authenticated user to perform a Time-based Boolean Blind SQL Injection attack on the endpoint /ui/rest-proxy/campaign/statistic (for the View Campaign page) via the sortColumn HTTP GET parameter. This allows an attacker to access sensitive data…

more

from the database and obtain access to the database user, database name, and database version information.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

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.
T1213.006 Databases Collection
Adversaries may leverage databases to mine valuable information.
Why these techniques?

SQL injection in public web endpoint directly enables remote exploitation of the application (T1190) and extraction of data from backend databases (T1213.006).

Confidence: HIGH · MITRE ATT&CK Enterprise v19.0

CVEs Like This One

CVE-2024-29390Shared CWE-89
CVE-2024-6217Shared CWE-89
CVE-2024-9811Shared CWE-89
CVE-2024-33146Shared CWE-89
CVE-2024-6215Shared CWE-89
CVE-2024-30974Shared CWE-89
CVE-2024-10349Shared CWE-89
CVE-2023-5924Shared CWE-89
CVE-2024-5240Shared CWE-89
CVE-2024-25351Shared CWE-89

Affected Assets

nokia
impact
≤ 19.11.2.10-20210118042150283

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)
  • SI-10 Information Input Validation
  • SI-9 Information Input Restrictions
  • SI-2 Flaw Remediation
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

prevent

SI-10 mandates validation of HTTP GET parameters like sortColumn to block time-based blind SQL injection and prevent extraction of sensitive database information.

prevent

SI-9 enforces restrictions and sanitization on inputs such as the sortColumn parameter, directly mitigating SQL injection vulnerabilities in the /ui/rest-proxy/campaign/statistic endpoint.

prevent

SI-2 requires timely remediation of identified flaws like CVE-2021-35484 through patching or code fixes to eliminate the SQL injection vulnerability.

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
prevents

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
prevents

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.

detects

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

prevents

Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.

prevents

Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.

prevents

Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.

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.

References