Greetings! Around 4 months ago, nickm published a proposal draft for OnionBalance to support onion services v3. Due to #29583, it turns out that we can afterall take the easy approach which is basically how OnionBalance is working today for v2 but transposed to v3. See the ticket for the reasons why for now we'll proceed this way. However, we all agreed that #29583 is a "must fix at some point" meaning that OnionBalance v3 will then become much more complicated. In order to not forget about it, I'm reviving nickm's proposal as prop306 so we have the draft in torspec.git. See attachement for the proposal. Cheers! David -- vjZrE+FHHEPpllrbcUukx7LtWFzk066L23yoggvnmso=
Filename: 306-onionbalance-v3.txt Title: Onion Balance Support for Onion Service v3 Author: Nick Mathewson Created: 03-April-2019 Status: Draft 0. Draft Notes 2019-07-25: At this point in time, the cross-certification is not implemented correctly in >= tor-0.3.2.1-alpha. See https://trac.torproject.org/29583 for more details. This proposal assumes that this bug is fixed. 1. Introduction The OnionBalance tool allows several independent Tor instances to host an onion service, while clients can access that onion service without having to take its distributed status into account. OnionBalance works by having each instance run a separate onion service. Then, a management server periodically downloads the descriptors from those onion services, and generates a new descriptor containing the introduction points from each instance's onion service. OnionBalance is used by several high-profile onion services, including Facebook and The Tor Project. Unfortunately, because of the cross-certification features in v3 onion services, OnionBalance no longer works for them. To a certain extent, this breakage is because of a security improvement: It's probably a good thing that random third parties can no longer grab a onion service's introduction points and claim that they are introduction points for a different service. But nonetheless, a lack of a working OnionBalance remains an obstacle for v3 onion service migration. This proposal describes extensions to v3 onion service design to accommodate OnionBalance. 2. Background and Solution If an OnionBalance management server wants to provide an aggregate descriptor for a v3 onion service, it faces several obstacles that it didn't have in v2. When the management server goes to construct an aggregated descriptor, it will have a mismatch on the "auth-key", "enc-key-cert", and "legacy-key-cert" fields: these fields are supposed to certify the onion service's current descriptor-signing key, but each of these keys will be generated independently by each instance. Because they won't match each other, there is no possible key that the aggregated descriptor could use for its descriptor signing key. In this design, we require that each instance should know in advance about a descriptor-signing public key that the aggregate descriptor will use for each time period. (I'll explain how they can do this later, in section 3 below.) They don't have to know the corresponding private key. When generating their own onion service descriptors for a given time period, the instances generate these additional fields to be used for the aggregate descriptor: "meta-auth-key" "meta-enc-key-cert" "meta-legacy-key-cert" These fields correspond to "auth-key", "enc-key-cert", and "legacy-key-cert" respectively, but differ in one regard: the descriptor-signing public key that they certify is _not_ the instance's own descriptor-signing key, but rather the aggregate public key for the time period. Ordinary clients ignore these new fields. When the management server creates the aggregate descriptor, it checks that the signing key for each of these "meta" fields matches the signing key for its corresponding non-"meta" field, and that they certify the correct descriptor-signing key-- and then uses these fields in place of their corresponding non-"meta" variants. 2.1. A quick note on synchronization In the design above, and in the section below, I frequently refer to "the current time period". By this, I mean the time period for which the descriptor is encoded, not the time period in which it is generated. Instances and management servers should generate descriptors for the two closest time periods, as they do today: no additional synchronization should needed here. 3. How to distribute descriptor-signing keys The design requires that every instance of the onion service knows about the public descriptor-signing key that will be used for the aggregate onion service. Here I'll discuss how this can be achieved. 3.1. If the instances are trusted. If the management server trusts each of the instances, it can distribute a shared secret to each one of them, and use this shared secret to derive each time period's private key. For example, if the shared secret is SK, then the private descriptor- signing key for each time period could be derived as: H("meta-descriptor-signing-key-deriv" | onion_service_identity INT_8(period_num) | INT_8(period_length) | SK ) (Remember that in the terminology of rend-spec-v3, INT_8() denotes a 64-bit integer, see section 0.2 in rend-spec-v3.txt.) If shared secret is ever compromised, then an attacker can impersonate the onion service until the shared secret is changed, and can correlate all past descriptors for the onion service. 3.2. If the instances are not trusted: Option One If the management server does not trust the instances with descriptor-signing public keys, another option for it is to simply distribute a load of public keys in advance, and use them according to a schedule. In this design, the management server would pre-generate the "descriptor-signing-key-cert" fields for a long time in advance, and distribute them to the instances offline. Each one would be associated with its corresponding time period. If these certificates were revealed to an attacker, the attacker could correlate descriptors for the onion service with one another, but could not impersonate the service. 3.3. If the instances are not trusted: Option Two Another option for the trust model of 3.2 above is to use the same key-blinding method as used for v3 onion services. The management server would hold a private descriptor-signing key, and use it to derive a different private descriptor-signing key for each time period. The instance servers would hold the corresponding public key, and use it to derive a different public descriptor-signing key for each time period. (For security, the key-blinding function in this case should use a different nonce than used in the) This design would allow the instances to only be configured once, which would be simpler than 3.2 above-- but at a cost. The management server's use of a long-term private descriptor-signing key would require it to keep that key online. (It could keep the derived private descriptor-signing keys online, but the parent key could be derived from them.) Here, if the instance's knowledge were revealed to an attack, the attacker could correlate descriptors for the onion service with one another, but could not impersonate the service. 4. Some features of this proposal We retain the property that each instance service remains accessible as a working onion service. However, anyone who can access it can identify it as an instance of an OnionBalance service, and correlate its descriptor to the aggregate descriptor. Instances could use client authorization to ensure that only the management server can decrypt their introduction points. However, because of the key-blinding features of v3 onion services, nobody who doesn't know the onion addresses for the instances can access them anyway: It would be sufficient to keep these addresses secret. Although anybody who successfully accesses an instance can correlate its descriptor to the meta-descriptor, this only works for two descriptors within a single time period: You can't match an instance descriptor from one time period to a meta-descriptor from another. A. Acknowledgments Thanks to the network team for helping me clarify my ideas here, explore options, and better understand some of the implementations and challenges in this problem space.
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