CVE-2026-56272

Flowise before 3.0.13 uses bcrypt with default salt rounds of 5 (32 iterations), yielding a higher risk of password hash cracking. The vulnerability allows attackers to crack hashes faster on modern GPUs, potentially compromising all user accounts in a database breach. Affected component is the b...

CVE-2026-56272

Flowise before 3.0.13 uses bcrypt with default salt rounds of 5, providing only 32 iterations instead of the OWASP-recommended minimum of 10 rounds. Attackers can crack password hashes approximately 30 times faster with modern GPU hardware, potentially compromising all user accounts in a database...

EUVD-2026-38748

Flowise before 3.0.13 uses bcrypt with default salt rounds of 5, providing only 32 iterations instead of the OWASP-recommended minimum of 10 rounds. Attackers can crack password hashes approximately 30 times faster with modern GPU hardware, potentially compromising all user accounts in a database...

CVE-2026-56272 Flowise - Insufficient Password Salt Rounds in Bcrypt Hashing

Flowise before 3.0.13 uses bcrypt with default salt rounds of 5, providing only 32 iterations instead of the OWASP-recommended minimum of 10 rounds. Attackers can crack password hashes approximately 30 times faster with modern GPU hardware, potentially compromising all user accounts in a database...

CVE-2026-49440

Summary: CVE-2026-49440 affects Deno’s crypto.primality tests when using default options (checks=0) for checkPrime/checkPrimeSync, causing some composites to be reported as prime due to zero Miller-Rabin rounds. This occurs in the node:crypto path and related op_node_check_prime implementations; ...

PT-2026-50149

Name of the Vulnerable Software and Affected Versions Deno versions prior to 2.8.1 Description The node:crypto.checkPrime and crypto.checkPrimeSync functions failed to perform Miller-Rabin rounds when the options.checks variable was left at its default value of 0. In this state, the software only...

When LLMs Team Up: A Coordinated Attack Framework for Automated Cyber Intrusions

Automated intrusion-style workflows require LLM agents to reason over partial observations, tool outputs, and executable artifacts under bounded budgets. A single LLM instance often compresses evidence extraction, planning, execution, and validation into one context, which increases the risk of...

VMware Spring AI 安全漏洞

VMware Spring AI is a development framework created by VMware Corporation in the Spring ecosystem, which integrates artificial intelligence and large language model capabilities. VMware Spring AI has a security vulnerability. This vulnerability allows malicious users to manipulate the behavior of...

Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt Engineering Quality Assurance

Prompt specifications for multi-agent large language model LLM systems carry data contracts and integration logic across many interdependent files but are rarely subjected to structured-inspection rigor. This paper reports a single-system empirical case study of iterative, agent-driven auditing...

PT-2026-30585

The setup: 4 agents chain off each other in a loop, each reacting to the previous response. Dominus — finds a new vulnerability angle from the CISA KEV catalog Axiom — adds one new technical detail to the finding Cipher — identifies one specific flaw in the previous argument Vector — names one...

Integer Overflow

bcrypt-ruby is vulnerable to Integer Overflow. The vulnerability is due to an integer overflow in the Java BCrypt implementation for JRuby, where the key-strengthening round count is computed as a signed 32-bit integer, and when cost=31, signed integer overflow causes the round count to become...

GHSA-X2G5-FVC2-GQVP Flowise has Insufficient Password Salt Rounds

Description The default bcrypt salt rounds is set to 5, which is below the recommended minimum for security. Affected Code export function getHashvalue: string const salt = bcrypt.genSaltSyncparseIntprocess.env.PASSWORDSALTHASHROUNDS || '5' return bcrypt.hashSyncvalue, salt Evidence Using 5 salt...

Use of Password Hash With Insufficient Computational Effort

Overview flowise is a Flowiseai Server Affected versions of this package are vulnerable to Use of Password Hash With Insufficient Computational Effort due to the use of insufficient bcrypt salt rounds in the getHash function. An attacker can significantly reduce the time required to crack passwor...

Flowise has Insufficient Password Salt Rounds

Description The default bcrypt salt rounds is set to 5, which is below the recommended minimum for security. Affected Code export function getHashvalue: string const salt = bcrypt.genSaltSyncparseIntprocess.env.PASSWORDSALTHASHROUNDS || '5' return bcrypt.hashSyncvalue, salt Evidence Using 5 salt...

PT-2026-51776

Name of the Vulnerable Software and Affected Versions Flowise versions prior to 3.0.13 Description The software uses bcrypt with a default salt round value of 5, resulting in only 32 iterations. This is significantly lower than the OWASP-recommended minimum of 10 rounds 1024 iterations. This...

CVE-2025-66017

CVE-2025-66017 affects the CGGMP family (CGGMP21 and CGGMP24). The vulnerability arises from improper use of presignatures in specific configurations, allowing signature forgery or reduced security. Affected details indicate that in CGGMP21 <= 0.6.3 and CGGMP24

EUVD-2025-199640

CGGMP24 is a state-of-art ECDSA TSS protocol that supports 1-round signing requires 3 preprocessing rounds, identifiable abort, and a key refresh protocol. In versions 0.6.3 and prior of cggmp21 and version 0.7.0-alpha.1 of cggmp24, presignatures can be used in the way that significantly reduces...

The Ultimate Battle: Enterprise Browsers vs. Secure Browser Extensions

Most security tools can't see what happens inside the browser, but that's where the majority of work, and risk, now lives. Security leaders deciding how to close that gap often face a choice: deploy a dedicated Enterprise Browser or add an enterprise-grade control layer to the browsers employees...

An Improved ChaCha Algorithm Based on Quantum Random Number

Due to the merits of high efficiency and strong security against timing and side-channel attacks, ChaCha has been widely applied in real-time communication and data streaming scenarios. However, with the rapid development of AI-assisted cryptanalysis and quantum computing technologies, there are...

Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models

Fully decentralized training of machine learning models offers significant advantages in scalability, robustness, and fault tolerance. However, achieving differential privacy DP in such settings is challenging due to the absence of a central aggregator and varying trust assumptions among nodes. I...