CVE-2026-70463

CVE-2026-70463 affects rsync up to version 3.4.x (before 3.5.0) where the auth users parser incorrectly tokenizes the user list by comma, failing to correctly handle entries like @Group Name with spaces. This causes the deny rule for that group to be silently discarded during parsing, enabling an...

CVE-2026-70463 rsync 3.1.0 < 3.5.0 Authorization Bypass via auth users Directive Parsing

rsync 3.1.0 before 3.5.0 contains an authorization bypass in auth users directive parsing. The auth users parser uses comma-only tokenization when splitting the user list, which fails to correctly handle entries of the form @Group Name where the group name contains a space. The space within the...

EUVD-2026-58041

rsync 3.1.0 before 3.5.0 contains an authorization bypass in auth users directive parsing. The auth users parser uses comma-only tokenization when splitting the user list, which fails to correctly handle entries of the form @Group Name where the group name contains a space. The space within the...

PT-2026-71663

Name of the Vulnerable Software and Affected Versions rsync versions 3.1.0 through 3.4.x Description An authorization bypass exists in the parsing of the auth users directive. The parser utilizes comma-only tokenization when splitting the user list, which fails to correctly process entries...

CVE-2026-70463: Incorrect Authorization

rsync 3.1.0 before 3.5.0 contains an authorization bypass in auth users directive parsing. The auth users parser uses comma-only tokenization when splitting the user list, which fails to correctly handle entries of the form @Group Name where the group name contains a space. The space within the...

CVE-2026-43632

A flaw was found in llama.cpp. A use-after-free vulnerability exists in the llama-server's tokenization endpoints. This flaw allows a remote attacker to exploit a time-of-check-time-of-use race condition, where memory is freed by the main thread before an HTTP worker thread finishes using it...

SUSE CVE-2026-43632

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

EUVD-2026-54287

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

CVE-2026-43632

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

DEBIAN-CVE-2026-43632

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

CVE-2026-43632

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

UBUNTU-CVE-2026-43632

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

CVE-2026-43632

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

CVE-2026-43632

Concrete details found: In llama.cpp builds b7492–b9060, a use-after-free in llama-server affects six tokenization endpoints (/tokenize, /detokenize, /infill, /apply-template, /rerank, /anthropic/count_tokens). The vulnerability arises from a time-of-check-time-of-use race that allows bypassing t...

CVE-2026-43632 llama.cpp b7492–b9060 Use-After-Free in Tokenization Endpoints

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

CVE-2026-43632 llama.cpp b7492–b9060 Use-After-Free in Tokenization Endpoints

llama.cpp builds b7492 through the latest b9060 contains a use-after-free vulnerability in llama-server affecting six tokenization endpoints /tokenize, /detokenize, /infill, /apply-template, /rerank, and /anthropic/counttokens that bypass the task queue and access ctxserver.vocab directly on HTTP...

CVE-2026-17347

The CVE describes an OS command injection in pgAdmin 4: a MASTER_PASSWORD_HOOK setting allows an administrator to configure an external command containing %u, which substitutes the current user name (potentially from external sources) into the command string. Previously this could be injected int...

EUVD-2026-51560

The MASTERPASSWORDHOOK setting, introduced in pgAdmin 4 7.2, lets an administrator configure an external command that returns a per-user encryption key, with %u in the configured string replaced by the current user's name. The previous implementation substituted the username directly into the...

TI-StegoAlign: Channel-Guided Post-Training for Generative Text Steganography under Tokenization Inconsistency

Generative text steganography enables LLM agents to exchange secret information through task-relevant messages. Yet most methods evaluate recovery on sender-side tokens, whereas the receiver observes only surface text. Detokenization and receiver-side retokenization can alter token boundaries,...

A Cybersecurity MLPS Large Language Model with Multi-Path Retrieval Fusion

The Multi-Level Protection Scheme MLPS is a foundational system in China's cybersecurity governance framework. Therefore, accurate analysis and understanding of MLPS requirements are essential. At present, MLPS analysis still relies mainly on manual interpretation of standards and rule-based tool...