Security Resilience

CVE-2026-27005

SQLi in Depomo Chartbrew ≤ 4.8.3

Public PoCSQLi
Published
06 March 2026
Modified
10 March 2026
Patch / advisory
CVSS Score v4 8.8
Click a component to see what it means
Raw vectorCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
EPSS Score 0.0075 55th percentile
Risk Priority 46 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-2026-27005 is a high-severity SQL Injection (CWE-89) vulnerability in Depomo Chartbrew. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Compromise Infrastructure (T1584); ranked in the top 45% of CVEs by exploit likelihood; 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-2026-27005 is a SQL injection vulnerability (CWE-89) affecting Chartbrew, an open-source web application designed to connect directly to databases and APIs for creating charts from data. Versions of Chartbrew prior to 4.8.3 are vulnerable, specifically when connected to MySQL or PostgreSQL databases, as the application fails to properly sanitize user inputs in SQL queries executed against these backends.

An unauthenticated attacker can exploit this vulnerability remotely over the network with low complexity and no user interaction required, as indicated by its CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H). By injecting arbitrary SQL into queries, the attacker can read, modify, or delete data in the connected databases, with the extent of impact determined by the privileges of the database user account configured in Chartbrew.

The issue has been addressed in Chartbrew version 4.8.3, which patches the SQL injection flaw. Official advisories and release notes are available on the Chartbrew GitHub repository, including the security advisory at GHSA-w5rh-v333-qq6c and the release tag for v4.8.3.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to version 4.8.3, an unauthenticated attacker can inject arbitrary SQL into queries executed against databases connected to Chartbrew…

more

(MySQL, PostgreSQL). This allows reading, modifying, or deleting data in those databases depending on the database user's privileges. This issue has been patched in version 4.8.3.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1584 Compromise Infrastructure Resource Development
Adversaries may compromise third-party infrastructure that can be used during targeting.
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.
T1211 Exploitation for Stealth Stealth
Adversaries may exploit vulnerabilities to evade detection by hiding activity, suppressing logging, or operating within trusted or unmonitored components.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
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.
T1599 Network Boundary Bridging Defense Impairment
Adversaries may bridge network boundaries by compromising perimeter network devices or internal devices responsible for network segmentation.
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

depomo
chartbrew
≤ 4.8.3

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

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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

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

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

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

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.

finds

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

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.

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