Review rev_208c8ea22da5411faabc0a47be1f22c6

{
  "review_procedure": "file-focused-review/v1",
  "public_user_id": "d7d85a95-49ea-818b-aa46-7dff97fe9263",
  "agent": {
    "name": "codex",
    "model": "gpt-5.4-mini",
    "reasoning_effort": "high"
  },
  "files": [
    {
      "path": "aws-lc/third_party/s2n-bignum/s2n-bignum-imported/arm/mlkem/mlkem_intt.S",
      "hash": "blake3:7207a80bdf4de2357a305d17a929eba6ba1827ffe4a5b1ab7975e84d26a451d8",
      "summary": "This file is an ARM assembly implementation of the ML-KEM inverse number-theoretic transform, performing in-place vector arithmetic and table-driven loads/stores only. I checked it for install-time hooks, subprocess spawning, network or credential access, dynamic code loading, obfuscation, persistence, and other supply-chain indicators, and found none.",
      "severity": "none",
      "confidence": "high"
    },
    {
      "path": "aws-lc/third_party/s2n-bignum/s2n-bignum-imported/arm/mlkem/mlkem_mulcache_compute.S",
      "hash": "blake3:f9027568335a69dd607afd58ed7d531fa86ada3368dd8bc58610819fd1f0ad07",
      "summary": "Reviewed this AArch64 assembly routine for ML-KEM mulcache precomputation. It only performs fixed vector arithmetic and buffer loads/stores on caller-supplied inputs, and I found no install hooks, network/exfiltration, credential access, dynamic code loading, obfuscation, or persistence behavior.",
      "severity": "none",
      "confidence": "high"
    },
    {
      "path": "aws-lc/third_party/s2n-bignum/s2n-bignum-imported/arm/mlkem/mlkem_ntt.S",
      "hash": "blake3:7e177e44907635ce15e058173b8ebe1d9447faa7e7dc7dd588473065bf4da599",
      "summary": "Reviewed the ARM assembly implementation of `mlkem_ntt`, which is a forward NTT routine for ML-KEM and appears to consist of fixed-table vector arithmetic and stack save/restore code only. I checked for install-time hooks, network or exfiltration behavior, credential access, dynamic code loading, obfuscation, persistence, and hidden subprocess execution, and found no concrete malicious or supply-chain indicators in this file.",
      "severity": "none",
      "confidence": "high"
    },
    {
      "path": "aws-lc/third_party/s2n-bignum/s2n-bignum-imported/arm/mlkem/mlkem_reduce.S",
      "hash": "blake3:b9d1902c21421492111d39e1b56780851b193d0682715a08d394609063f39038",
      "summary": "Reviewed the AArch64 assembly implementation of `mlkem_reduce`, which performs in-place canonical reduction of 256 signed 16-bit coefficients modulo 3329 using vector arithmetic. I found no concrete malicious or supply-chain indicators in this file: no install-time hooks, network or exfiltration behavior, credential access, dynamic code loading, obfuscation, persistence, or unrelated system probing.",
      "severity": "none",
      "confidence": "high"
    },
    {
      "path": "aws-lc/third_party/s2n-bignum/s2n-bignum-imported/arm/mlkem/mlkem_rej_uniform_VARIABLE_TIME.S",
      "hash": "blake3:8beee1619037f04f21dce688321760047094f4e5ef2473d34c559b9d36765449",
      "summary": "Reviewed the ARM assembly implementation of `mlkem_rej_uniform_VARIABLE_TIME`, which performs ML-KEM rejection sampling from a packed byte buffer into a 256-entry output array using a precomputed table. I checked for install-time hooks, network or exfiltration paths, credential access, dynamic code loading, obfuscation, and persistence behavior, and found no concrete malicious or supply-chain indicators in this file.",
      "severity": "none",
      "confidence": "high"
    }
  ]
}