Cyber Resilience

CVE-2025-68701

Crypto Weakness in Samrocketman Jervis ≤ 2.2

Published
13 January 2026
Modified
20 January 2026
Patch / advisory
CVSS Score v4 8.7
Click a component to see what it means
Raw vectorCVSS: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:X
EPSS Score 0.0021 11th percentile
Risk Priority 43 floored blend · peak EPSS

Summary

CVE-2025-68701 is a high-severity Use of a Broken or Risky Cryptographic Algorithm (CWE-327) vulnerability in Samrocketman Jervis. Its CVSS base score is 8.7 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Adversary-in-the-Middle (T1557); ranked at the 11th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SC-12 (Cryptographic Key Establishment and Management) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2025-68701 affects Jervis, a library used for Job DSL plugin scripts and shared Jenkins pipeline libraries. In versions prior to 2.2, Jervis employs deterministic AES initialization vector (IV) derivation from a passphrase, violating cryptographic best practices. This flaw is classified under CWE-327 (Broken or Risky Cryptographic Algorithm) and CWE-340 (Generation of Predictable IV with CBC Mode), earning a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N).

Remote attackers require no privileges, authentication, or user interaction to exploit this vulnerability over the network with low complexity. Successful exploitation enables high-impact confidentiality violations, such as decrypting sensitive data protected by the affected encryption scheme due to the predictable IVs.

The GitHub security advisory (GHSA-crxp-chh4-9ghp) and fixing commit (c3981ff71de7b0f767dfe7b37a2372cb2a51974a) confirm mitigation by upgrading to Jervis version 2.2, which addresses the deterministic IV issue.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Jervis is a library for Job DSL plugin scripts and shared Jenkins pipeline libraries. Prior to 2.2, Jervis uses deterministic AES IV derivation from a passphrase. This vulnerability is fixed in 2.2.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1557 Adversary-in-the-Middle Credential Access
Adversaries may attempt to position themselves between two or more networked devices using an adversary-in-the-middle (AiTM) technique to support follow-on behaviors such as [Network Sniffing](https://attack.
T1606.001 Web Cookies Credential Access
Adversaries may forge web cookies that can be used to gain access to web applications or Internet services.
T1040 Network Sniffing Credential Access
Adversaries may passively sniff network traffic to capture information about an environment, including authentication material passed over the network.
T1110 Brute Force Credential Access
Adversaries may use brute force techniques to gain access to accounts when passwords are unknown or when password hashes are obtained.
T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
T1558 Steal or Forge Kerberos Tickets Credential Access
Adversaries may attempt to subvert Kerberos authentication by stealing or forging Kerberos tickets to enable [Pass the Ticket](https://attack.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-68702Same product: Samrocketman Jervis
CVE-2025-68698Same product: Samrocketman Jervis
CVE-2025-68704Same product: Samrocketman Jervis
CVE-2025-68931Same product: Samrocketman Jervis
CVE-2025-68703Same product: Samrocketman Jervis
CVE-2025-68925Same product: Samrocketman Jervis
CVE-2026-42932Shared CWE-340
CVE-2026-28810Shared CWE-340
CVE-2025-62294Shared CWE-340
CVE-2024-10603Shared CWE-340

Affected Assets

samrocketman
jervis
≤ 2.2

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)
  • 12 hardening rules · 8 OS baselines
Validate
Prove the fix (OWASP ASVS)
  • V11.3.4

Mitigating Controls (NIST 800-53 r5) AI

SC-13 requires selection and implementation of specific cryptography types, directly stopping use of broken algorithms.

Developer testing and evaluation can discover predictable number generation through targeted analysis or fuzzing of identifier creation routines.

Cryptographic key establishment and management mandates proper entropy and randomness during generation, directly stopping predictable identifiers at the source.

Authenticator management requires secure initial distribution and handling of authenticators, structurally preventing predictable values from being usable.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 mostly match
prevents

Secure SDLC practices directly require cryptographically strong RNG for identifiers and tokens, covering most of this weakness while the control addresses many additional development issues.

PR.DS-01 partial match
prevents

PR.DS-01 promotes encryption for data-at-rest but never requires strong algorithms, leaving CWE-327 fully possible; the weakness is also far broader than data-at-rest so one narrow control removes none of its total risk.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

prevents

Mandating approved algorithms, cipher strength and usage standards directly stops the selection of broken or weak cryptographic primitives that attackers can exploit.

finds

Security testing in development can detect predictable identifiers through static/dynamic analysis and fuzzing, reducing residual risk.

prevents

The explicit call-out of cryptography-related legal constraints (import/export, key escrow, digital-signature validity) reduces the likelihood that an organization will adopt broken or non-compliant cryptographic algorithms that violate those rules.

prevents

Access to current specialist guidance and early vulnerability alerts enables timely replacement of broken or risky cryptographic algorithms with stronger alternatives.

prevents

A secure SDLC incorporates threat modelling and secure-design reviews that flag predictable identifier generation early in the lifecycle.

prevents

Secure-coding standards explicitly forbid predictable random functions and mandate cryptographically secure RNGs, preventing the weakness at the source.

Hardening callouts derived

Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (authoritative rows only; rows rated `none` are excluded).

Oracle Linux 8 (2 rules)
  • V-248524 OL 8 must implement NIST FIPS-validated cryptography for the following: To provision digital signatures, to generate cryptographic hashes, and to protect data requiring data-at-rest protections in accordance with applicable federal laws, Executive Orders, directives, policies, regulations, and standards. prevents CWE-327, CWE-340
  • V-248600 OL 8 must have the packages required to use the hardware random number generator entropy gatherer service. prevents CWE-340
RHEL 7 (1 rule)
  • V-204497 The Red Hat Enterprise Linux operating system must implement NIST FIPS-validated cryptography for the following: to provision digital signatures, to generate cryptographic hashes, and to protect data requiring data-at-rest protections in accordance with applicable federal laws, Executive Orders, directives, policies, regulations, and standards. prevents CWE-340
RHEL 8 (1 rule)
  • V-244527 RHEL 8 must have the packages required to use the hardware random number generator entropy gatherer service. prevents CWE-340
Windows 10 (1 rule)
  • V-220937 The system must be configured to prevent the storage of the LAN Manager hash of passwords. prevents CWE-327
Windows 11 (1 rule)
  • V-253461 The system must be configured to prevent the storage of the LAN Manager hash of passwords. prevents CWE-327
Windows Server 2016 (1 rule)
  • V-225053 Windows Server 2016 must be configured to prevent the storage of the LAN Manager hash of passwords. prevents CWE-327
Windows Server 2019 (1 rule)
  • V-205654 Windows Server 2019 must be configured to prevent the storage of the LAN Manager hash of passwords. prevents CWE-327
Windows Server 2022 (1 rule)
  • V-254474 Windows Server 2022 must be configured to prevent the storage of the LAN Manager hash of passwords. prevents CWE-327

References