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@@ -260,6 +260,129 @@ This document lists all configuration keys accepted by `config.toml`.
| tls_full_cert_ttl_secs | `u64` | `90` | — | TTL for sending full cert payload per (domain, client IP) tuple. |
| alpn_enforce | `bool` | `true` | — | Enforces ALPN echo behavior based on client preference. |
| mask_proxy_protocol | `u8` | `0` | — | PROXY protocol mode for mask backend (`0` disabled, `1` v1, `2` v2). |
| mask_shape_hardening | `bool` | `true` | — | Enables client->mask shape-channel hardening by applying controlled tail padding to bucket boundaries on mask relay shutdown. |
| mask_shape_hardening_aggressive_mode | `bool` | `false` | Requires `mask_shape_hardening = true`. | Opt-in aggressive shaping profile: allows shaping on backend-silent non-EOF paths and switches above-cap blur to strictly positive random tail. |
| mask_shape_bucket_floor_bytes | `usize` | `512` | Must be `> 0`; should be `<= mask_shape_bucket_cap_bytes`. | Minimum bucket size used by shape-channel hardening. |
| mask_shape_bucket_cap_bytes | `usize` | `4096` | Must be `>= mask_shape_bucket_floor_bytes`. | Maximum bucket size used by shape-channel hardening; traffic above cap is not padded further. |
| mask_shape_above_cap_blur | `bool` | `false` | Requires `mask_shape_hardening = true`; requires `mask_shape_above_cap_blur_max_bytes > 0`. | Adds bounded randomized tail bytes even when forwarded size already exceeds cap. |
| mask_shape_above_cap_blur_max_bytes | `usize` | `512` | Must be `<= 1048576`; must be `> 0` when `mask_shape_above_cap_blur = true`. | Maximum randomized extra bytes appended above cap. |
| mask_timing_normalization_enabled | `bool` | `false` | Requires `mask_timing_normalization_floor_ms > 0`; requires `ceiling >= floor`. | Enables timing envelope normalization on masking outcomes. |
| mask_timing_normalization_floor_ms | `u64` | `0` | Must be `> 0` when timing normalization is enabled; must be `<= ceiling`. | Lower bound (ms) for masking outcome normalization target. |
| mask_timing_normalization_ceiling_ms | `u64` | `0` | Must be `>= floor`; must be `<= 60000`. | Upper bound (ms) for masking outcome normalization target. |
### Shape-channel hardening notes (`[censorship]`)
These parameters are designed to reduce one specific fingerprint source during masking: the exact number of bytes sent from proxy to `mask_host` for invalid or probing traffic.
Without hardening, a censor can often correlate probe input length with backend-observed length very precisely (for example: `5 + body_sent` on early TLS reject paths). That creates a length-based classifier signal.
When `mask_shape_hardening = true`, Telemt pads the **client->mask** stream tail to a bucket boundary at relay shutdown:
- Total bytes sent to mask are first measured.
- A bucket is selected using powers of two starting from `mask_shape_bucket_floor_bytes`.
- Padding is added only if total bytes are below `mask_shape_bucket_cap_bytes`.
- If bytes already exceed cap, no extra padding is added.
This means multiple nearby probe sizes collapse into the same backend-observed size class, making active classification harder.
What each parameter changes in practice:
- `mask_shape_hardening`
Enables or disables this entire length-shaping stage on the fallback path.
When `false`, backend-observed length stays close to the real forwarded probe length.
When `true`, clean relay shutdown can append random padding bytes to move the total into a bucket.
- `mask_shape_bucket_floor_bytes`
Sets the first bucket boundary used for small probes.
Example: with floor `512`, a malformed probe that would otherwise forward `37` bytes can be expanded to `512` bytes on clean EOF.
Larger floor values hide very small probes better, but increase egress cost.
- `mask_shape_bucket_cap_bytes`
Sets the largest bucket Telemt will pad up to with bucket logic.
Example: with cap `4096`, a forwarded total of `1800` bytes may be padded to `2048` or `4096` depending on the bucket ladder, but a total already above `4096` will not be bucket-padded further.
Larger cap values increase the range over which size classes are collapsed, but also increase worst-case overhead.
- Clean EOF matters in conservative mode
In the default profile, shape padding is intentionally conservative: it is applied on clean relay shutdown, not on every timeout/drip path.
This avoids introducing new timeout-tail artifacts that some backends or tests interpret as a separate fingerprint.
Practical trade-offs:
- Better anti-fingerprinting on size/shape channel.
- Slightly higher egress overhead for small probes due to padding.
- Behavior is intentionally conservative and enabled by default.
Recommended starting profile:
- `mask_shape_hardening = true` (default)
- `mask_shape_bucket_floor_bytes = 512`
- `mask_shape_bucket_cap_bytes = 4096`
### Aggressive mode notes (`[censorship]`)
`mask_shape_hardening_aggressive_mode` is an opt-in profile for higher anti-classifier pressure.
- Default is `false` to preserve conservative timeout/no-tail behavior.
- Requires `mask_shape_hardening = true`.
- When enabled, backend-silent non-EOF masking paths may be shaped.
- When enabled together with above-cap blur, the random extra tail uses `[1, max]` instead of `[0, max]`.
What changes when aggressive mode is enabled:
- Backend-silent timeout paths can be shaped
In default mode, a client that keeps the socket half-open and times out will usually not receive shape padding on that path.
In aggressive mode, Telemt may still shape that backend-silent session if no backend bytes were returned.
This is specifically aimed at active probes that try to avoid EOF in order to preserve an exact backend-observed length.
- Above-cap blur always adds at least one byte
In default mode, above-cap blur may choose `0`, so some oversized probes still land on their exact base forwarded length.
In aggressive mode, that exact-base sample is removed by construction.
- Tradeoff
Aggressive mode improves resistance to active length classifiers, but it is more opinionated and less conservative.
If your deployment prioritizes strict compatibility with timeout/no-tail semantics, leave it disabled.
If your threat model includes repeated active probing by a censor, this mode is the stronger profile.
Use this mode only when your threat model prioritizes classifier resistance over strict compatibility with conservative masking semantics.
### Above-cap blur notes (`[censorship]`)
`mask_shape_above_cap_blur` adds a second-stage blur for very large probes that are already above `mask_shape_bucket_cap_bytes`.
- A random tail in `[0, mask_shape_above_cap_blur_max_bytes]` is appended in default mode.
- In aggressive mode, the random tail becomes strictly positive: `[1, mask_shape_above_cap_blur_max_bytes]`.
- This reduces exact-size leakage above cap at bounded overhead.
- Keep `mask_shape_above_cap_blur_max_bytes` conservative to avoid unnecessary egress growth.
Operational meaning:
- Without above-cap blur
A probe that forwards `5005` bytes will still look like `5005` bytes to the backend if it is already above cap.
- With above-cap blur enabled
That same probe may look like any value in a bounded window above its base length.
Example with `mask_shape_above_cap_blur_max_bytes = 64`:
backend-observed size becomes `5005..5069` in default mode, or `5006..5069` in aggressive mode.
- Choosing `mask_shape_above_cap_blur_max_bytes`
Small values reduce cost but preserve more separability between far-apart oversized classes.
Larger values blur oversized classes more aggressively, but add more egress overhead and more output variance.
### Timing normalization envelope notes (`[censorship]`)
`mask_timing_normalization_enabled` smooths timing differences between masking outcomes by applying a target duration envelope.
- A random target is selected in `[mask_timing_normalization_floor_ms, mask_timing_normalization_ceiling_ms]`.
- Fast paths are delayed up to the selected target.
- Slow paths are not forced to finish by the ceiling (the envelope is best-effort shaping, not truncation).
Recommended starting profile for timing shaping:
- `mask_timing_normalization_enabled = true`
- `mask_timing_normalization_floor_ms = 180`
- `mask_timing_normalization_ceiling_ms = 320`
If your backend or network is very bandwidth-constrained, reduce cap first. If probes are still too distinguishable in your environment, increase floor gradually.
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