How severe is CVE-2026-74874?

CVE-2026-74874 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity none, and availability none.

Is CVE-2026-74874 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (17th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-74874?

CVE-2026-74874 affects Jahlives Openssl Encrypt. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-74874?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

When was CVE-2026-74874 published?

CVE-2026-74874 was published on 2026-08-17 and last updated on 2026-09-01.

CVE-2026-74874

CVE-2026-74874 is a high-severity vulnerability in Jahlives Openssl Encrypt with a CVSS 3.x base score of 7.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-338.

Key facts

Severity: High (CVSS 3.x base score 7.5)
CVSS v4: 8.7
EPSS exploit prediction: 0% (17th percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-338
Affected product: Jahlives Openssl Encrypt
Published: 2026-08-17
Last modified: 2026-09-01

Description

openssl_encrypt versions before 1.4.0 use Python's non-cryptographic random module for steganographic pixel selection in the generate_pseudorandom_sequence function. Attackers who know the password can recover the Mersenne Twister state from approximately 624 outputs and predict pixel locations containing hidden data for extraction.

Frequently asked questions

What is CVE-2026-74874?: openssl_encrypt versions before 1.4.0 use Python's non-cryptographic random module for steganographic pixel selection in the generate_pseudorandom_sequence function. Attackers who know the password can recover the Mersenne Twister state from approximately 624 outputs and predict pixel locations containing hidden data for extraction.
How severe is CVE-2026-74874?: CVE-2026-74874 has a CVSS 3.x base score of 7.5, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity none, and availability none.
Is CVE-2026-74874 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (17th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-74874?: CVE-2026-74874 affects Jahlives Openssl Encrypt. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-74874?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
When was CVE-2026-74874 published?: CVE-2026-74874 was published on 2026-08-17 and last updated on 2026-09-01.

References

Affected products (1)

cpe:2.3:a:jahlives:openssl_encrypt:*:*:*:*:*:python:*:*

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Browse all CWE-338 vulnerabilities →