CVE-2026-62647

Predictable Session Identifier Generation in Siemens Reyrolle 7SR5 Enables Authentication Impersonation

Published Sep 8, 2026 CVSS 4.0 · 9.3 Critical EPSS < 1% KEV · Not listed
Description
A vulnerability has been identified in Reyrolle 7SR5 (All versions < V2.70). A random number generator is used to generate security-relevant values (such as session identifiers used for authentication purposes) that is not initialized with a True Random Number Generator (TRNG), resulting in a predictable sequence of generated values. This could allow an unauthenticated remote attacker to more easily predict the generated values and impersonate a legitimate authenticated user, potentially gaining unauthorized access to the device.

Analysis

AI-generated

Technical impact

A security flaw exists in Siemens Reyrolle 7SR5 versions prior to V2.70 where a random number generator is not seeded with a true random source, resulting in a predictable sequence of values used for session identifiers and other security‑related data. This flaw allows an attacker that does not possess credentials to anticipate future session tokens, thereby impersonating a legitimate authenticated user and gaining unauthorized access to the device. The weakness is identified as input validation/additional condition failure (CWE-20).

Affected Systems

Siemens Reyrolle 7SR5 devices running any firmware version earlier than V2.70 are affected.

Risk and Exploitability

The vulnerability carries a CVSS score of 9.3, indicating critical severity. EPSS data is not available, but the absence of a KEV listing does not diminish the risk; remote attackers can exploit the flaw from outside the network. Attackers can generate enough session identifiers in a short period to brute‑force or predict valid tokens, leading to full impersonation of an authenticated session without needing to compromise other credentials. The flaw is exploitable over remote management interfaces, and no special privileges are required to start the attack.

Remediation

No solution or workaround provided in the CVE record.

OpenCVE Recommended Actions

  • Upgrade the device firmware to version V2.70 or later, where a true random number generator is used.
  • Restrict or disable remote management interfaces and enforce strict network segmentation so only trusted devices can reach the Reyrolle 7SR5.
  • Continuously monitor authentication logs for abnormal session creation patterns and investigate any suspicious activity promptly.

Generated by OpenCVE AI on September 8, 2026 at 09:25 UTC.

Tracking

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Advisories

No advisories available
History
Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'total'}, 'version': '2.0.3'}

Type Values Removed Values Added
First Time appeared Siemens
Siemens reyrolle 7sr5
Vendors & Products Siemens
Siemens reyrolle 7sr5
Type Values Removed Values Added
Title Predictable Session Identifier Generation in Siemens Reyrolle 7SR5 Enables Authentication Impersonation
Type Values Removed Values Added
Description A vulnerability has been identified in Reyrolle 7SR5 (All versions < V2.70). A random number generator is used to generate security-relevant values (such as session identifiers used for authentication purposes) that is not initialized with a True Random Number Generator (TRNG), resulting in a predictable sequence of generated values. This could allow an unauthenticated remote attacker to more easily predict the generated values and impersonate a legitimate authenticated user, potentially gaining unauthorized access to the device.
Weaknesses CWE-20
References
Metrics cvssV3_1

{'score': 7.4, 'vector': 'CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N'}

cvssV4_0

{'score': 9.3, 'vector': 'CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N'}

Weaknesses
  • CWE-20

    Improper Input Validation

Sources

Status
PUBLISHED
Assigner
siemens
Published
Updated
Sep 14, 2026, 1:50 PM
Reserved
Jul 14, 2026, 4:24 PM
Status
Deferred
Published
Sep 8, 2026, 9:18 AM
Modified
Sep 14, 2026, 2:17 PM