16 TLS
Issac edited this page 2019-11-19 13:44:29 +02:00

SSL/TLS on Tasmota

TLS offer increased security between your connected devices and your MQTT server, providing server authentication and encryption. Please refer to the general discussion in Securing-your-IoT-from-hacking

Starting version 6.5.0.15, there are major changes to TLS to make it lighter in memory and easier to use. It has now reduced flash and memory requirements that makes it compatible with Web and Hue Emulation.

Note: If you are upgrading from a previous TLS activated version, there are breaking changes in the way Fingerprints are calculated, read below.

At the TASMOTA configuration, you need to enable to use the TLS Version. This is done by enable #define USE_MQTT_TLS in user_config_override.h and change the port number to 8883.

If you are using LetsEncrypt to generate your server certificates, you should activate #define USE_MQTT_TLS_CA_CERT. Tasmota will transparently check the server's certificate with LetsEncrypt CA. If you are generating self-signed certificates or prefer fingerprints, read below.

Fingerprint validation

The fingerprint is now calculated on the server's Public Key and no longer on its Certificate. The good news is that Public Keys tend to change far less often than certificates, i.e. LetsEncrypt triggers a certificate renewal every 3 months, the Public Key fingerprint will not change after a certificate renewal. The bad news is that there is no openssl command to retrieve the server's Public Key fingerprint, although a tool exists to calculate it from your certificate.

So to simplify your task, we have added two more options: 1/ auto-learning of the fingerprint, 2/ disabling of the fingerprint validation altogether.

Option 1: Fingerprint auto-learn. If set, Tasmota will automatically learn the fingerprint during the first connection and will set the Fingerprint settings to the target fingerprint. To do so, use one of the following commands:

MqttFingerprint1 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00

or

MqttFingerprint2 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00

Option 2: Disable Fingerprint. You can completely disable server fingerprint validation, which means that Tasmota will not check the server's identity. This also means that your traffic can possibly be intercepted and read/changed, so this option should only be used on trusted networks, i.e. with an MQTT on your local network. YOU HAVE BEEN WARNED!

To do so, set one of the Fingerprints to all 0xFF:

MqttFingerprint2 FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF FF

Limitations:

Starting with 6.5.0.15, AxTLS has been replaced with BearSSL. This allows a much lighter use of memory - typically 6.0k constantly, and an additional 6.8k during TLS connection. This now makes TLS compatible with Web and Hue/Wemo emulation.

The main limitations are:

  • Your SSL/TLS server must support TLS 1.2 and the RSA_WITH_AES_128_GCM_SHA256 cipher - which is the case with the default Mosquitto configuration
  • The server certificate must have an RSA private key (max 2048 bits) and the certificate must be signed with RSA and SHA256 hash. This is the case with default LetsEncrypt certificates.
  • Your SSL/TLS should support TLS 1.2 MFLN to limit buffer to 1024 bytes. If MFLN is not supported, it will still work well, as long as the server does not send any message above 1024 bytes (which should be ok, since Tasmota cannot parse MQTT messages above 1024 bytes)

Implementation notes

Arduino Core switched from AxTLS to BearSSL in 2.4.2, allowing further optimization of the TLS library footprint. BearSSL is designed for compactness, both in code size and memory requirements. Furthermore it is modular and allows for inclusion of only the code necessary for the subset of crypto-algorithms you want to support.

Thanks to BearSSL's compactness and aggressive optimization, the minimal TLS configuration requires just 34.5k of Flash and 6.7k of Memory. The full-blown AWS IoT version with full certificate validation requires 48.3k of Flash and 9.4k of Memory.

Here are the tips and tricks used to reduce Flash and Memory:

  • MFLN (Maximum Fragment Length Negotiation): TLS normally uses 16k buffers for send and receive. 32k looks very small on a server, but immensely huge for ESP8266. TLS 1.2 introduced MFLN, which allows the TLS Client to reduce both buffers down to 512 bytes. MFLN is not widely supported yet, but it is by recent OpenSSL versions and by AWS IoT. This is a huge improvement in memory footprint. If your server does not support MFLN, it will still work as long as the messages sent by the server do not exceed the buffer length. In Tasmota the buffer length is 1024 bytes for send buffer and 1024 bytes for receive buffer. Going below creates message fragmentation and much longer TLS connection times (above 3s). If your server does not support MFLN, you'll see a message to that effect in the logs.
  • Max Certificat size: BearSSL normally supports server certificates of up to RSA 4096 bits and EC 521 bits. These certificates are very uncommon currently. To save extra memory, the included BearSSL library is trimmed down to maximum RSA 2048 bit certificate and EC 256 bit certificate. This should not have any impact for you.
  • EC private key: AWS IoT requires the client to authenticate with its own Private Key and Certificate. By default AWS IoT will generate an RSA 2048 bit private key. In Tasmota, we moved to an EC (Elliptic Curve) Private Key of 256 bits. EC keys are much smaller, and handshake is significantly faster. Note: the key being 256 bits does not mean it's less secure than RSA 2048, it's actually the opposite.
  • Single Cipher: to reduce code size, we only support a single TLS cipher and embed only the code strictly necessary. When using TLS (e.g. LetsEncrypt on Mosquitto) the supported cipher is RSA_WITH_AES_128_GCM_SHA256 which is a very commonly supported cipher. For AWS IoT, the only supported cipher is ECDHE_RSA_WITH_AES_128_GCM_SHA256 which is one of the recommended ciphers. Additionally, ECDHE offers Perfect Forward Secrecy which means extra security.
  • Adaptive Thunk Stack: BearSSL does not allocate memory on its own. It's either the caller's responsibility or memory is taken on the Stack. Stack usage can go above 5k, more than the ESP8266 stack. Arduino created a Thunk Stack, a secondary stack of 5.6k, allocated on Heap, and activated when a TLS connection is active. Actually the stack is mostly used during TLS handshake, and much less memory is required during TLS message processing. Tasmota only allocates the Thunk Stack during TLS handshake and switches back to the normal Stack afterwards. See below for details of actual memory usage.
  • Keys and CA in PROGMEM: BearSSL was adapted from original source code to push most on the tables and static data into PROGMEM: https://github.com/earlephilhower/bearssl-esp8266. Additional work now allows us to put the Client Private Key, Certificate and CA in PROGMEM too, saving at least 3k of Memory.

Memory usage

TLS on Tasmota has been aggressively optimized to use as little memory (heap) as possible. It was also optimized to limit code size.

Memory consumption (nominal):

  • BearSSL lib: 1424 bytes (or 1024 bytes with LetsEncrypt or regular TLS)
  • BearSSL ClientContext: 3440 bytes
  • Buffers (1024 bytes in + 1024 bytes out + overhead): 2528 bytes
  • Total = 7.4k (or 7.0k with LetsEncrypt or regular TLS)

Note: if you use USE_WEBSERVER, your impact is lowered by 2k since the Web log buffer is reduced from 4k to 2k. Overall, when activating USE_WEBSERVER, you just see a memory impact of 5.4k.

Memory needed during connection (TLS handshake - fingerprint validation):

  • ThunkStack = 5308 bytes (or 3608 bytes with LetsEncrypt or regular TLS)
  • DecoderContext = 1152 bytes
  • Total for connection = 6.5k (or 4.8k with LetsEncrypt or regular TLS)

Memory needed during connection (TLS handshake - full CA validation):

  • ThunkStack = 5308 bytes (or 3608 bytes with LetsEncrypt or regular TLS)
  • DecoderContext = 3072 bytes
  • Total for connection = 8.4k (or 6.7k with LetsEncrypt or regular TLS)

Connection Time

The ESP8266 is quite slow compared to modern processors when it comes to SSL handshakes. Here are the observed performance times when connecting to an SSL/TLS server, depending on the CPU frequency (80MHz or 160MHz):

AWS IoT Connection, with EC Private Key, simple fingerprint validation:

  • 0.7s at 160MHz
  • 1.3s at 80 MHz

AWS IoT Connection, with EC Private Key, full CA validation (easier to configure than fingerprints):

  • 1.0s at 160MHz
  • 1.8s at 80 MHz

LetsEncrypt based server (Mosquitto for ex), simple fingerprint validation:

  • 0.3s at 160MHz
  • 0.4s at 80MHz

LetsEncrypt based server (Mosquitto for ex), with full CA validation (easier to configure than fingerprint):

  • 0.4s at 160MHz
  • 0.7s at 80MHz

TLS Troubleshooting

Here are the most common TLS errors:

Error code Description
-1002 Cannot connect to TCP port
-1000 Out of memory error
1 Bad fingerprint
23 The server's public key is too large. Tasmota TLS is limited to 2048 RSA keys
62 X509 not trusted, the server certificate is not signed by the CA (AWS IoT or LetsEncrypt)
298 Missing client private key

Additional BR_ERR* error codes


Below are the instructions of pre-6.5.0.15 versions.

Before v 6.5.0.15: to the value you're getting from the Mosquitto server. To get the fingerprint you can use the following command on your MQTT server:

openssl s_client -connect localhost:8883 < /dev/null 2>/dev/null | openssl x509 -fingerprint -noout -in /dev/stdin

Note: The openssl output will most likely be a Colon separated fingerprint

A5:02:FF:13:99:9F:8B:39:8E:F1:83:4F:11:23:65:0B:32:36:FC:07

Tasmota requires the fingerprint expressed as 20 space separated bytes

A5 02 FF 13 99 9F 8B 39 8E F1 83 4F 11 23 65 0B 32 36 FC 07

Note that when you create your certificate, you should make sure to set the CN field to the value of MQTT_HOST. Setting your CN to a domain name but your MQTT_HOST to an IP address will cause the signature verification on the Tasmota device to fail.