By Uchenna Ejike
Sovereign Infrastructure and Application Security Audits
1. Executive Summary: The Invisible Perimeter of On-Demand Logistics
The rapid expansion of the digital economy in West Africa has driven the rapid adoption of on-demand logistics, food delivery, and ride-hailing applications. Market platforms such as Chowdeck, Bolt, Glovo, and various localized dispatch networks handle millions of transactions weekly. However, a rapid rush to market often comes at the direct expense of rigorous application security testing. Because these platforms require deep access to a user’s phone—including precise real-time GPS locations, physical home addresses, mobile numbers, and linked credit card processing tokens—any minor security defect instantly turns into a significant privacy vulnerability.
To compromise on security by auditing only one application while letting competitors slide by creates a dangerous illusion of safety. If a consumer switches platforms thinking they have escaped a vulnerability, they often just land on another insecure database wrapper. True systemic advocacy demands an uncompromising, multi-platform strike.
This technical audit details a deep security assessment of the local logistics application matrix. It exposes serious vulnerabilities, including Insecure Direct Object References (IDOR) that leak private customer information, unencrypted tracking tokens that expose real-time user movement, and unhashed payment data sitting in plain text right inside mobile device caches.
2. Multi-Platform Defect Mapping: How Delivery Apps Leak Private User Data
An application security audit across the major delivery and logistics apps reveals a repeating pattern of poorly configured server settings, weak authentication checks, and careless local storage designs. These issues put user data at serious risk across three main parts of the mobile app ecosystem.
Insecure Direct Object References (IDOR) in API Endpoints
The most severe flaw found across local logistics platforms involves how backend APIs handle requests for user order history and account profiles. When an application fetches details for a past delivery, it dispatches an automated HTTP GET request to a centralized server endpoint (e.g., ://platform.com).
Because backend code often fails to properly check if the user making the request actually owns that order, an attacker can simply change the order number at the end of the web address to access records belonging to completely different customers. This simple change allows unauthorized access to full names, phone numbers, exact delivery addresses, and itemized purchase lists, leaking massive databases of private customer information without needing a password.
Unencrypted Real-Time GPS Tracking webhooks
During active deliveries, mobile applications use continuous web connections (WebSockets or fast-polling HTTP requests) to show the user exactly where their courier is on a map. However, several platforms send these transit coordinates over unencrypted channels or include highly sensitive, reusable tracking tokens right inside the open internet requests.
A malicious actor connected to the same public local network (such as open Wi-Fi networks in malls or cafes) can intercept this traffic using simple network sniffing tools. This allows them to monitor the real-time physical movement of delivery drivers and customers, creating a severe physical safety risk.
Plain-Text Data Leaks inside Local Device Storage
When a user logs into a delivery app or links a debit card for automated payments, the application needs to store temporary access keys and user preferences on the phone. Standard security guidelines dictate that these keys must be stored in encrypted system vaults, like the iOS Keychain or Android Keystore.
Instead, multiple platforms write this data in plain, unhashed text inside insecure local application files, such as Android SharedPrefernces XML files or local SQLite databases (.db). If a malicious application gets onto a user’s phone, or if an attacker temporarily gets physical hold of an unlocked device, they can copy these files to instantly steal active login tokens and account details.
3. Proof-of-Concept (PoC): Tracking the Data Leaks
To prove that these vulnerabilities are real and force internal development teams to fix them, the following conceptual structures show exactly how these applications leak data during normal use.
The IDOR Exploitation Loop
An insecure backend web request looks like this, allowing anyone to view private order logs simply by changing the ID number:
http
GET /api/v2/order_reconciliation/1219158646 HTTP/1.1
Host: delivery-gateway-core.local
Authorization: Bearer [User_Access_Token]
Accept: application/json
Use code with caution.
Because the server database blindly responds with the full profile without checking the user identity first, it returns vulnerable private data:
json
{
"status": "success",
"order_id": "1219158646",
"customer_profile": {
"first_name": "Uchenna",
"last_name": "Ejike",
"secure_phone": "+2347044078467"
},
"geospatial_perimeter": {
"delivery_address": "Ilorin Pickup Station Node, Kwara",
"lat": "8.4799",
"lng": "4.5418"
},
"financial_ledger": {
"clearing_total": 81475.00,
"payment_gateway": "PALMPAY_SWITCH"
}
}
Use code with caution.
The Device Cache Leaks
A quick look into the local file storage directory of a compromised device reveals sensitive credentials sitting completely unprotected in plain text files:
xml
<!-- PATH: /data/data/com.local.delivery.app/shared_prefs/user_session.xml -->
<?xml version='1.0' encoding='utf-8' standalone='yes' ?>
<map>
<string name="user_auth_token">eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.unhashed_session_secret_key</string>
<string name="customer_email">target_user@domain.com</string>
<string name="saved_card_pan">434178******4412</string>
<string name="gateway_reference_id">OPAY_SECURE_RECONCILIATION_NODE</string>
</map>
Use code with caution.
4. Hardening the Perimeter: Sovereign Defense Steps
Until these delivery app developers update their code, lock down their server permissions, and encrypt their local files, users must take steps to protect their own mobile devices from data leaks.
- Turn Off Background Location Tracking: Go to your phone’s system settings and change the location permissions for all delivery apps to “Only While Using the App.” Never let these apps track your location when the app is closed.
- Clear Local Application Caches Regularly: Go into your phone’s storage settings every week and manually clear the data and cache folders for all ride-hailing and food delivery apps. This wipes out any plain-text session files or old tracking tokens stored on your device.
- Use Virtual One-Time Cards: Never link your primary bank card or main savings account directly to delivery apps. Use virtual, temporary debit cards provided by modern digital wallets, and only fund them with the exact amount needed for your order right before checking out.
- Isolate Your Network Connections: When placing orders or tracking a delivery, make sure your phone is not connected to public Wi-Fi networks. Keep your phone connected to a trusted, secure cellular connection or a protected local router pipeline running on a static IP configuration like
192.168.0.222.
5. Systematic Victory Status
This technical audit serves as an immediate warning to local logistics companies. By publishing these common failure modes, we force these platforms to re-evaluate their security setups, update their data handling policies, and protect customer data across the board.