Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessIdentify authenticated DFIR-IRIS analyst target
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DeliveryCraft forged state-changing HTTP request to IRIS endpoint
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ExploitDeliver payload via phishing or malicious link
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ExecutionVictim browser auto-submits request with session cookie
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ImpactUnauthorized case or investigation action executed under victim identity
Vulnerability Assessment
| Weakness |
CWE
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| Exploitation Conditions | Exploitation requires that an authenticated DFIR-IRIS user with an active browser session interact with attacker-controlled content (visit a malicious page or click a crafted link) while their session remains valid. The CVSS vector (PR:N/UI:R) confirms the attacker requires no credentials of their own, but victim interaction is mandatory - social engineering or phishing is a prerequisite. Exploitation is bounded to actions within the victim's role permissions and is limited to low integrity impact per CVSS scoring. No special server-side configuration is required; the flaw is present by default in all pre-2.4.28 deployments. Exploitation is not possible against sessions protected by SameSite=Strict cookies, VPN-isolated deployments where the attacker cannot reach the DFIR-IRIS instance, or users who are not currently authenticated. |
| Impact | The CVSS 3.1 base score of 4.3 (Medium) accurately reflects the constrained real-world risk: network-accessible (AV:N), low attack complexity (AC:L), no attacker privileges required (PR:N), but mandatory user interaction (UI:R), unchanged scope (S:U), and only low integrity impact (I:L) with no confidentiality or availability impact. The UI:R constraint is the primary exploitation barrier - mass automated exploitation is not feasible. No EPSS score was provided in the input data, so exploitation probability cannot be quantified. This CVE is not listed in CISA KEV, confirming no widespread active exploitation has been recorded. However, contextual risk for DFIR-IRIS deployments is elevated beyond the raw score: forensic platforms manage case integrity, evidence chains, and attribution data, meaning even a low-integrity CSRF action could tamper with an active investigation or falsify case records. No public exploit code has been identified, and this vulnerability is not independently confirmed as exploited in the wild. |
| Exploit ScenarioDerived | An attacker identifies an DFIR-IRIS analyst with an active browser session and delivers a phishing email or malicious link containing a page that silently submits a forged HTTP request to a DFIR-IRIS state-changing endpoint. When the analyst visits the attacker-controlled page, their browser automatically includes session cookies and executes the forged request, performing an unauthorized action - such as modifying case assignments, altering evidence records, or changing investigation status - under the victim's identity without their knowledge. No public exploit code has been identified, but CSRF exploitation is a well-understood, low-sophistication technique requiring only knowledge of the target application's request structure. |
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Alert meAnalysisAIv1 – Jun 04, 2026
Cross-Site Request Forgery in DFIR-IRIS before version 2.4.28 enables a remote attacker to perform unauthorized state-changing actions on behalf of an authenticated victim user, with low integrity impact and no confidentiality or availability consequence. Disclosed by SBA Research as part of a coordinated multi-CVE advisory (alongside mass assignment CVE-2026-42540, excessive data exposure CVE-2026-42539, and false alert attribution CVE-2026-42547), this flaw is rooted in CWE-650 - the application trusts HTTP method semantics rather than enforcing proper anti-CSRF token validation. No public exploit code or active exploitation has been identified at time of analysis.
RemediationAI
Upgrade DFIR-IRIS to version 2.4.28 or later, which remediates this CSRF flaw and the three co-disclosed vulnerabilities (CVE-2026-42539, CVE-2026-42540, CVE-2026-42547). The upstream fix is documented in GitHub security advisory GHSA-m73w-v4r5-vw9m at https://github.com/dfir-iris/iris-web/security/advisories/GHSA-m73w-v4r5-vw9m and the oss-security disclosure at https://www.openwall.com/lists/oss-security/2026/05/19. If immediate patching is not feasible, restrict DFIR-IRIS web interface access to trusted internal networks or enforce VPN-only access to reduce the attacker's ability to deliver a CSRF payload - this does not eliminate the vulnerability but removes most attacker delivery vectors. As an additional compensating control, configuring SameSite=Strict on session cookies at the reverse proxy layer will block cross-site request submission, though this may break any legitimate cross-origin integrations. Both workarounds have the trade-off of reducing but not eliminating risk and should be treated as temporary measures pending the patch.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in euvd
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Technical ContextAI · show details
DFIR-IRIS (iris-web) is an open-source collaborative Digital Forensics and Incident Response platform built on Python/Flask, used by security operations and forensic teams to manage cases, evidence, and investigation timelines. The root cause is classified as CWE-650 (Trusting HTTP Permission Methods on the Server Side), which indicates the application relies on HTTP method conventions (e.g., distinguishing GET from POST) as an implicit security boundary rather than implementing cryptographic anti-CSRF tokens or enforcing SameSite cookie policies. This allows an attacker to craft a cross-origin HTTP request that the victim's browser will automatically submit, bypassing intended access controls. No CPE strings were included in the input data; affected versions are identified as all DFIR-IRIS releases prior to 2.4.28 per advisory SBA-ADV-20260128-03 and GitHub security advisory GHSA-m73w-v4r5-vw9m.
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Severity by source
AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
Primary rating from Vendor (CNA) · only source for this CVE.
CVSS VectorVendor
Lifecycle Timeline
3Description PRE-NVD
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Cross-Site Request Forgery exploits the automatic credential inclusion behavior of web browsers.
Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.
EUVD-2026-34329
NVD
CVE.org
EPSS
GitHub
VulDB
Exploit-DB