GHSA-x5mv-8wgw-29hg tract-nnef: integer overflow in NNEF `.dat` tensor parser yields an out-of-bounds read on model load
**Component:** `tract-nnef` (`nnef/src/tensors.rs::read_tensor`) + `tract-data` (`data/src/tensor.rs`)**Affected versions:** `< 0.21.16`, `0.22.0`–`0.22.2`, `0.23.0`–`0.23.1` — the dense `DatLoader` path was unguarded across all three release lines; patched in 0.21.16 / 0.22.2 / 0.23.1**Class:** CWE-190 (integer overflow) → CWE-125 (out-of-bounds read)**Trigger:** loading a crafted NNEF model archive (`*.nnef.tgz` / `*.nnef.tar` / dir) via the public `tract_nnef::nnef().model_for_path` / `model_for_read`**Impact:** `read_tensor` returns a memory-unsafe tensor (reported `len` 2^61 over a 56-byte heap allocation). Always-on primitive: a **bounded heap out-of-bounds read** during model build (`as_uniform`), an adjacent-heap information-disclosure reachable via the public load API. The resulting slice is an unsound `from_raw_parts(ptr, 2^61)` that **SIGSEGVs (DoS)** on any access past the mapped region (demonstrated by direct access). No out-of-bounds write and no RCE were achieved — tract's const-folding/`as_uniform` fast-paths fold simple consuming graphs without the full read.**Severity:** MediumSummary`read_tensor` builds a tensor `shape` from attacker-controlled 32-bit dimensions and computes the element count `len = product(shape)` and the byte allocation `product(shape) * size_of(dt)` with **unchecked `usize` arithmetic**. In `--release` (no `overflow-checks`), both products wrap modulo 2^64. An attacker chooses dimensions so that the wrapped products collapse to a small value that satisfies the header consistency check, while the *true* element count remains astronomically large. `read_tensor` returns `Ok` with a `Tensor` whose reported `len` (e.g. 2^61+7) is far larger than its backing heap allocation (e.g. 56 bytes). The unchecked slice accessor `as_slice_unchecked` (`from_raw_parts(ptr, self.len)`) then produces a slice spanning ~18 exabytes over a 56-byte buffer. The out-of-bounds read fires automatically during model build (no inference required), reachable through the default `DatLoader` resource loader.Root cause`nnef/src/tensors.rs`, `read_tensor`:`data/src/tensor.rs`, `uninitialized_aligned_dt`:The three quantities — the consistency-check LHS `(2)`, the allocation `(3)`, and the reported `len` — are all the same wrapped `product(shape)*size_of`, so they stay mutually consistent and **the consistency check at `(2)` cannot catch the overflow**. `data_size_bytes` is a `u32`, so the attacker simply sets it to the wrapped value.Corruption sink — `data/src/tensor.rs::as_slice_unchecked` (and `data/src/tensor/plain_view.rs::as_slice_unchecked`):The only guard is `byte_len() == 0`. A small **non-zero** allocation defeats it and yields an unsound oversized slice.Witness (F64)`len * (bits/8) mod 2^64 = (2^61+7)*8 mod 2^64 = 56 == data_size_bytes` → consistency check passes.allocation = `(2^61+7)*8 mod 2^64 = 56` bytes (7 × F64).reported `len` = `2^61+7` elements.Only the `is_copy()` numeric arms (F16/F32/F64/int, and likely the `complex` arms) are exploitable. F64 is the cleanest (`bits/8` divides evenly). The `bool`, `String`, and block-quant paths are each guarded by an independent mechanism (size_of==1 prevents byte/element divergence; `String` bails on a missing `num_traits::Zero` impl; block-quant has its own `ensure!(expected_len == data_size_bytes)` and uses non-plain `Exotic` storage).Reachability (load-time, public API)No shape-vs-storage re-validation exists anywhere on this path (`proto.validate()` checks only the AST; `Const::new` checks only `is_plain`; `check_for_access` checks only the datum type; even the *safe* `PlainView::as_slice` does `from_raw_parts(ptr, self.len)` with no length guard).Execution (proof of concept)Reproduced against the crate at the affected revision, `--release`, x86_64-linux. Three scenarios:**Direct `read_tensor`** — feed the crafted 128-byte header + 56-byte payload:`read_tensor -> Ok`, `shape=[33955849,7005787,359,3,3,3]`, `len()=2305843009213693959`, `as_bytes().len()=56`, `as_slice::<f64>().len()=2305843009213693959`.`s[7]` (first element past the 56-byte allocation) returns `0x0000000000000041` → **heap OOB read** (adjacent-heap disclosure).`s[1<<40]` → **SIGSEGV** (signal 11).**Public load API** — build a malicious `.nnef.tar` (`graph.nnef` with `variable(label='weights', shape=[...])` + `weights.dat`) and call `nnef().model_for_read()`:returns `Ok` with one `Const` node, `out[0].fact.uniform=Some(...)`, `len()=2305843009213693959` over a 56-byte buffer → confirms `as_uniform`/`is_uniform_t`/`as_slice_unchecked` performed an **OOB read on load** (bounded over-read here because `is_uniform`'s `.all()` short-circuits on the uniform `0x41` payload).**Optimized graph** — same archive but the const is consumed (`output = mul(weights, weights)`), then `into_optimized` / `run`:**Does not crash.** With both a uniform (`0x41×56`) and a non-uniform (`0..56`) payload, `into_optimized` const-folds `mul(const, const)` to a single node **without a full-length materialization** of the oversized const, and `run` completes. A reliable arbitrary-length crash through a *normal optimized graph* was therefore NOT demonstrated; the always-on primitive is the bounded load-time over-read (scenario 2), and the wild-slice SIGSEGV is shown via direct access (scenario 1).Runnable PoC sources are available to the maintainers on request.Detection**Static:** flag `*.iter().product::<usize>()` over externally-controlled dimensions without `checked_*`/`try_into`, especially when the result feeds an allocation and a separately-tracked `len`.**Runtime / fleet:** crash telemetry showing SIGSEGV inside `is_uniform_t` / `from_raw_parts` during NNEF model load; an ASAN build flags `heap-buffer-overflow READ` in `read_tensor`→`as_uniform`.**Input filter (compensating):** reject NNEF `.dat` tensors where `product(dims)` overflows `u64`, or where `product(dims) * size_of(dt) != data_size_bytes` computed in **checked** arithmetic, before constructing the tensor.**YARA-ish heuristic for `.dat` blobs:** NNEF magic `4E EF 01 00`, `rank<=8`, and any `dim >= 0x10000` whose checked product with the others overflows.Mitigation (suggested fix)In `read_tensor`, compute the element count and byte size with checked arithmetic and reject on overflow, mirroring the guard already present on the block-quant path (`ensure!(expected_len == data_size_bytes)` added in `eacd13ccb`):Defense in depth: make `Tensor::uninitialized_aligned_dt` reject when `product(shape)*size_of` overflows, and add a `len * size_of == storage.byte_len()` invariant check in the `as_slice*` accessors (or at `Tensor` construction) so a `len`/storage mismatch can never reach `from_raw_parts`.Mapping: CWE-190, CWE-125; mitigations align with input validation (OWASP ASVS V5) and safe integer handling (CERT INT32-C analogue).Prior art / why this is not already fixed`eacd13ccb` (2026-03-23, "Add blob-size validation to BlockQuantStorage constructors") added overflow/blob-size validation **only to the block-quant path**; the dense `DatLoader`/`read_tensor` path was left unguarded. The maintainers fixed the sibling and missed this one.PR #745 ("Fix UB by creating uninit Tensors with a non-null pointer") is a *different* UB (null base pointer on zero-length slices) in the same module family.No CVE / RustSec / GHSA / OSV / Huntr entry matches this bug; last change to `nnef/src/tensors.rs` predates HEAD and added no overflow guard to the dense path.Reported by: s1ko (s1ko@riseup.net · github.com/s1ko)
CVSS v3.1 score: 6.1