CVE-2026-74874

highpriority · track · 0OT risk · elevatedEPSS 0.004 · 37 %ileEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
0.44% (37th) EPSS
CVSS 7.5 · high
Is it mine?
3 products
Check your exposure
Who says so?
3 sources
enisa_euvd · osv · nvd

EPSS · scored 2026-10-23

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.

01

cvss

Technical severity, 0–10. One row per scoring source.

8.7
010

base score 0–10 · higher = more severe · hover a vector to decode⚠ sources disagree · medium–high · 6.6–8.7

v3.17.5highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:Nsecondary · disclosure@vulncheck.comexploitability 3.9 · impact 3.6
v4.08.7highCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:Nsecondary · ENISA EU
v4.08.7highCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Xsecondary · disclosure@vulncheck.com
v4.06.6mediumCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:Xsecondary · CVSS-BT (t0sche)
02

ssvc

A stakeholder decision — act, attend, or track — from exploitation and impact.

Exploitation: none · Automatable: yes · Technical Impact: partialcoordinatorcisa_ssvcUS
03

weaknesses

The CWE weakness classes this flaw belongs to.

04

affected products (3)

Products and version ranges known to be affected.

05

advisories (2)

Vendor and ecosystem advisories describing this.

  • GHSA-vfgx-5q85-58q3openssl-encrypt has non-cryptographic PRNG used for steganography pixel selection2026-03-31ghsa · osvUS

    ### Summary The `generate_pseudorandom_sequence()` function in `openssl_encrypt/plugins/steganography/core/utils.py` at **lines 89-91** uses Python's `random` module (Mersenne Twister) for steganographic pixel/sample selection. ### Affected Code ```python random.seed(seed) sequence = random.sample(range(max_value), min(length, max_value)) return sequence ``` Additionally, the steganography password is stored as a plain Python string (not `SecureBytes`) and only 8 bytes (64 bits) of the SHA-256 hash are used for the seed, reducing effective security to 64 bits. ### Impact The Mersenne Twister's state can be recovered from approximately 624 outputs. An attacker who knows or guesses the password can predict the PRNG sequence and determine exactly which pixels contain hidden data, potentially extracting the hidden data without the password. ### Recommended Fix - Use HMAC-DRBG or `secrets` module for cryptographically secure pixel selection - Use full 32-byte SHA-256 output as seed material - Store the password in `SecureBytes` instead of a plain string ### Fix Fixed in commit `09e96e0` on branch `releases/1.4.x` — replaced random.seed(hash(password)) with HMAC-SHA256 based CSPRNG (Fisher-Yates shuffle) and numpy Generator with HMAC-derived seeds across all steganography format modules.

  • PYSEC-2026-37542026-08-17vendor · osvUS

    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.

06

also known as (4)

Other names and identifiers for this entity.

07

sources

Which sources assert this record, and when.

published 2026-08-17modified 2026-09-01
08

references (4)

External citations — patches, advisories, analysis.

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