Vulnerabilities
Vulnerable Software
Security Vulnerabilities
CVE-2026-76461
Known exploited
A vulnerability in the email parsing of Cisco AsyncOS Software for Cisco Secure Email Gateway could allow an unauthenticated, remote attacker to execute arbitrary commands with root privileges on the underlying operating system. This vulnerability is due to insufficient validation in the email parsing logic. An attacker could exploit this vulnerability by sending a crafted email message that contains malicious SQL statements through an affected device. A successful exploit could allow the attacker to execute arbitrary SQL statements, leading to command execution with root privileges on the underlying operating system.
CVSS Score
9.8
EPSS Score
0.283
Published
2026-09-14
A vulnerability was found in FlowiseAI Flowise up to 3.0.2. This vulnerability affects the function axios.post of the file packages/server/src/controllers/evaluations/index.ts of the component Evaluations Endpoint. The manipulation of the argument Host/X-Forwarded-Proto results in server-side request forgery. The attack may be launched remotely. The exploit has been made public and could be used. Upgrading to version 3.1.3 is able to resolve this issue. The patch is identified as 700137738bcaebefd4709021f6d6b0abcd7df0ac. It is recommended to upgrade the affected component. This vulnerability only affects products that are no longer supported by the maintainer.
CVSS Score
2.1
EPSS Score
0.004
Published
2026-09-13
vLLM versions >=0.10.2 and <0.28.0 do not apply any audio decode-size or duration limit when extracting audio from video input for NanoNemotronVL models. In nano_nemotron_vl.py, _extract_audio_from_videos calls load_audio_pyav(BytesIO(video_bytes)) without the max_duration_s or max_decode_bytes parameters, so neither VLLM_MAX_AUDIO_DECODE_DURATION_S nor VLLM_MAX_AUDIO_DECODE_BYTES is enforced (unlike the direct audio upload path in AudioMediaIO). When a NanoNemotronVL model is served with use_audio_in_video=True, an attacker who supplies a small, highly compressed video as multimodal input can force the server to allocate gigabytes of memory during audio decoding, resulting in a denial of service. Fixed in vLLM 0.28.0.
CVSS Score
6.9
EPSS Score
0.002
Published
2026-09-12
vLLM versions before 0.28.0 fail to validate audio sample rate headers in the transcription endpoint, allowing authenticated clients to bypass duration checks. Attackers can submit forged FLAC headers with inflated sample rates to trigger excessive memory allocation and crash the API server process affecting all tenants.
CVSS Score
7.1
EPSS Score
0.005
Published
2026-09-12
vLLM before 0.28.0 contains a remote code execution vulnerability in the LlavaOnevision2 processor loader that ignores the trust_remote_code parameter when loading remote processor classes. Attackers can craft a malicious model with arbitrary code in processing_llava_onevision2.py that executes with vLLM process authority even when trust_remote_code is set to False.
CVSS Score
8.5
EPSS Score
0.003
Published
2026-09-12
Flowise before 3.1.4 contains a broken access control vulnerability in GET /api/v1/organizationuser that allows any authenticated organization member to retrieve the organization owner's full user record including bcrypt password hash and temporary tokens. Attackers can query the endpoint with any user ID to obtain the owner's credential hash for offline cracking, enabling account takeover of the highest-privileged account.
CVSS Score
6.0
EPSS Score
0.003
Published
2026-09-12
Flowise is a low-code platform for building LLM applications. In versions up to and including 3.1.3, the POST /api/v1/node-load-method/:name endpoint is mounted without any route-level permission check and invokes component loadMethods with an attacker-controlled nodeName, loadMethod, inputs, and credential value. The selected credential is resolved by raw Credential.id via getCredentialData() and decrypted without verifying Credential.workspaceId against the caller's active or shared workspace, unlike other credential read paths which are workspace-scoped. As a result, an authenticated low-privilege user (or workspace API key) in one workspace can supply a credential ID owned by another workspace and cause Flowise to act as a confused deputy, performing third-party provider calls with the victim workspace's credential and returning provider metadata to the attacker. Statically identified affected load methods include Google Drive listFiles, Google Sheets listSpreadsheets, and AWS DynamoDB KV Storage listTables. The raw credential secret itself is not returned to the attacker. This issue is fixed in version 3.1.4.
CVSS Score
6.1
EPSS Score
0.004
Published
2026-09-12
Flowise versions before 3.1.4 contain an unauthenticated denial of service vulnerability in the /api/v1/text-to-speech/abort endpoint that accepts user-supplied chatflowId and chatId without ownership verification. Attackers can terminate active chatflow predictions for any user by submitting requests with known chatflow and chat identifiers, causing targeted service disruption.
CVSS Score
6.3
EPSS Score
0.005
Published
2026-09-12
GitLab has remediated an issue in GitLab EE affecting all versions from 18.3 before 18.11.12, 19.0 before 19.0.9, 19.1 before 19.1.8, 19.2 before 19.2.6, and 19.3 before 19.3.2 that under certain conditions could allow an authenticated user with Duo Chat access to obtain Advanced Search instance configurations and sensitive credentials using a specially crafted GraphQL subscription argument to bypass serialization and perform server object lookup.
CVSS Score
9.9
EPSS Score
0.006
Published
2026-09-12
CVE-2026-85706
Known exploited
GitLab has remediated an issue in GitLab CE/EE affecting all versions from 18.7 before 18.11.12, 19.0 before 19.0.9, 19.1 before 19.1.8, 19.2 before 19.2.6, and 19.3 before 19.3.2 that, under certain conditions, an unauthenticated user could have read arbitrary files from the GitLab server due to improper path confinement and missing authentication enforcement in the repository commits API.
CVSS Score
10.0
EPSS Score
0.914
Published
2026-09-12


Contact Us

Shodan ® - All rights reserved