HCIP-IoT study materials
HCIP-IoT study resources

Remediating 20,000 Cold-Chain Trackers with a Shared Key, an Open Console and Plaintext MQTT

HCIP-IoT · Put your knowledge to work in context.

All case studies

Remediating 20,000 Cold-Chain Trackers with a Shared Key, an Open Console and Plaintext MQTT

A cold-chain logistics company operates 20,000 trailer tracking units built by a contract manufacturer. Every unit leaves the factory with the same pre-shared key compiled into firmware, an unlocked UART console protected by a documented password, and an MQTT client that connects to the cloud broker on port 1883 with no transport encryption; the integrator argued that TLS would not fit in the 256 KB flash budget. Two months ago a unit was stolen and later recovered, and its firmware was dumped. Last week three customers received shipments whose logged temperatures were flat at 4 C for the whole journey, although the consignees recorded a broken seal and a warm trailer. The units support FOTA, but only 40% of the fleet has ever taken an update, and the rest sit in customer yards with intermittent 2G or 4G coverage. A customer security audit is scheduled in 90 days, and the company cannot recall the fleet.

1. Rank the remediation actions for the 90-day window and justify the order using exploitability and blast radius.

Read the worked answer

Rank by how easily the weakness is exploited and how much it covers, not by how satisfying it is to fix.

First, the shared key. One dump now equals fleet-wide credentials, so every existing device is already suspect. But rotating the key fleet-wide requires an update, which 60% of units will not take quickly. So do both halves: raise the provisioning of unique per-device credentials immediately for every unit that takes new firmware, and in parallel make the platform reject the old key for a growing allow-list. Accept a long tail, but stop the bleeding where you can.

Second, close the console. Disable the UART login and JTAG in the production build, enable secure boot with signed images, and ship that in the same release. A dumped firmware with an open console and no signature check means any attacker can build a convincing counterfeit unit, which is exactly what the flat 4 C readings suggest.

Third, kill plaintext. Terminate port 1883 at the broker so no device can silently fall back, after the firmware cohort is large enough to survive it. Do this on a measured schedule, not on a promise.

In parallel and requiring no firmware at all: tighten broker ACLs, add per-device rate limits, alert on impossible travel and on devices reporting from two places at once, and blacklist the three affected customers' device IDs pending forensics. Those actions are free this week and buy time for the rest.

2. Design device identity and key management for the existing fleet and for future hardware, given that no unit can be recalled.

Read the worked answer

There are three realistic identity options, and the honest recommendation is a staged mix.

Per-device X.509 certificates are the strongest, but the fleet was built without a secure element, so any private key lives in flash and is extractable by anyone who dumps the image. That still beats a shared key enormously, because extraction requires physical possession of that unit, not one stolen trailer.

Per-device secret with HMAC-based authentication is lighter and supported by IoTDA. It avoids certificate chain and expiry handling on a constrained device and is a reasonable choice for a fleet this size if the secret is stored in a protected flash region and never logged.

For provisioning without recall: run a one-time enrolment service that issues credentials per serial number. The device authenticates with the old shared key plus its serial and a one-time token, and the service checks the serial against the manufacturing allow-list, rate-limits issuance, and flags any serial requesting credentials more than once. Because the old key is compromised, treat enrolment as a weak factor and require a dealer-side scan or installer confirmation for high-value lanes. Revoke the old key for a device as soon as its new credential is issued.

For future hardware, specify a secure element that generates the keypair internally and never exports it, plus signed firmware and a documented rotation and revocation process. Write revocation into the contract now, because retrofitting it after 20,000 more units ship is the same problem again.

3. The integrator says TLS does not fit in 256 KB of flash. How do you answer that on the merits, and how would you detect the forged temperature data even after transport security is fixed?

Read the worked answer

Quantify before conceding. Full TLS with RSA-2048 server certificates and a general-purpose crypto library is indeed heavy, but it is not the only option. TLS 1.2 with ECDHE-ECDSA P-256 and AES-128-GCM, using a stripped mbedTLS configuration with certificate parsing limited to one chain, commonly fits in roughly 30 to 50 KB of flash and 20 to 30 KB of RAM. That is tight on 256 KB but usually feasible if the application image is trimmed. The cheaper option is DTLS 1.2 with a pre-shared key over UDP or CoAP, needing only a few KB, at the cost of no per-device certificate.

The defensible plan is to measure the actual image size on a bench build and choose the strongest suite that fits, with the rule that plaintext is not an option regardless. If the measurement genuinely fails, the answer is a companion secure module or a hardware revision, not port 1883. Also disable the plaintext listener so no device can fall back silently after an update.

Transport security alone will not detect the reported fraud, because TLS ends at the platform and a compromised device can lie inside the tunnel. Add application-layer integrity: a per-message sequence number and monotonic timestamp signed with the device key, so replays and reordering are rejected. Then add cross-checks that a forged device struggles to satisfy: ambient temperature from the route plan versus trailer interior, GPS displacement versus elapsed time, door-open events correlated with temperature slope, and the physical warm-up curve of a trailer whose refrigeration is off. Flag exact repetition, values pinned at the setpoint, and discontinuities. That combination catches the current incident class and survives the next one.