CVE-2026-5085
April 13, 2026, 4:16 p.m.
9.1
Critical
Description
Solstice::Session versions through 1440 for Perl generates session ids insecurely.
The _generateSessionID method returns an MD5 digest seeded by the epoch time, a random hash reference, a call to the built-in rand() function and the process id.
The same method is used in the _generateID method in Solstice::Subsession, which is part of the same distribution.
The epoch time may be guessed, if it is not leaked in the HTTP Date header. Stringified hash refences will contain predictable content. The built-in rand() function is seeded by 16-bits and is unsuitable for security purposes. The process id comes from a small set of numbers.
Predictable session ids could allow an attacker to gain access to systems.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Solstice |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-338
Use of Cryptographically Weak Pseudo-Random Number Generator (PRNG)
The product uses a Pseudo-Random Number Generator (PRNG) in a security context, but the PRNG's algorithm is not cryptographically strong.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | solstice | session | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: NONE
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
Timeline
Published: April 13, 2026, 7:16 a.m.
Last Modified: April 13, 2026, 4:16 p.m.
Last Modified: April 13, 2026, 4:16 p.m.
Status : Undergoing Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
9b29abf9-4ab0-4765-b253-1875cd9b441e
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.