chore(deps): bump libdd-ffe-test-suite/ffe-system-test-data from `d9d8020` to `c017a15` by dependabot[bot] · Pull Request #2328 · DataDog/libdatadog

dependabot · 2026-08-06T22:44:20Z

Bumps libdd-ffe-test-suite/ffe-system-test-data from d9d8020 to c017a15.

Commits

c017a15 Merge pull request #20 from greghuels/greg.huels/semver-comparison-fixtures
7f3112c Refine SEMVER comparison boundaries
1d7c325 Add SEMVER comparison operator fixtures
f3da9ae Merge pull request #18 from DataDog/leo.romanovsky/revert-regex-shard-bound-f...
44092ce fix: limit rollback to regex fixtures
9864c01 fix: restore static temporal allocation reasons
cb09e08 revert: remove regex and shard-bound fixtures
a596df7 Merge pull request #17 from DataDog/leo.romanovsky/regex-shard-bound-fixtures
ce45493 Add regex and shard-bound fixtures
6c7f63b Merge pull request #16 from DataDog/leo.romanovsky/malformed-split-shards-fix...
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Bumps [libdd-ffe-test-suite/ffe-system-test-data](https://github.com/DataDog/ffe-system-test-data) from `d9d8020` to `c017a15`. - [Commits](DataDog/ffe-system-test-data@d9d8020...c017a15) --- updated-dependencies: - dependency-name: libdd-ffe-test-suite/ffe-system-test-data dependency-version: c017a15e1a153c27f325486df771a08e2a344022 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>

pr-commenter · 2026-08-06T22:56:20Z

Benchmarks

Comparison

Benchmark execution time: 2026-08-06 22:54:49

Comparing candidate commit a2f0f83 in PR branch dependabot/submodules/libdd-ffe-test-suite/ffe-system-test-data-c017a15 with baseline commit 05d785e in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 13 metrics, 0 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

🟩 = significantly better candidate vs. baseline
🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:sdk_test_data/rules-based

🟥 execution_time [+9.204µs; +11.410µs] or [+7.170%; +8.889%]

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`a2f0f83`	1786056259	dependabot/submodules/libdd-ffe-test-suite/ffe-system-test-data-c017a15

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	156.623ns	159.864ns ± 2.189ns	159.681ns ± 1.255ns	160.865ns	163.516ns	166.815ns	169.329ns	6.04%	1.295	2.529	1.37%	0.155ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[159.561ns; 160.168ns] or [-0.190%; +0.190%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`a2f0f83`	1786056259	dependabot/submodules/libdd-ffe-test-suite/ffe-system-test-data-c017a15

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	21.627ms	21.897ms ± 0.089ms	21.927ms ± 0.029ms	21.955ms	21.977ms	21.987ms	21.994ms	0.31%	-1.609	1.432	0.41%	0.006ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	113665.935op/s	114170.583op/s ± 468.603op/s	114016.358op/s ± 151.154op/s	114193.796op/s	115232.647op/s	115531.613op/s	115597.355op/s	1.39%	1.620	1.462	0.41%	33.135op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	95.764ms	96.697ms ± 0.345ms	96.705ms ± 0.136ms	96.803ms	97.125ms	97.265ms	100.026ms	3.43%	4.375	41.974	0.36%	0.024ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9997.417op/s	10341.763op/s ± 36.319op/s	10340.741op/s ± 14.532op/s	10359.052op/s	10391.423op/s	10402.729op/s	10442.370op/s	0.98%	-4.117	38.913	0.35%	2.568op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	600.015µs	602.220µs ± 0.822µs	602.195µs ± 0.569µs	602.813µs	603.533µs	603.971µs	604.362µs	0.36%	-0.093	-0.346	0.14%	0.058µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	165463.759op/s	166052.676op/s ± 226.671op/s	166059.056op/s ± 156.843op/s	166208.445op/s	166418.546op/s	166551.949op/s	166662.500op/s	0.36%	0.100	-0.345	0.14%	16.028op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	[21.885ms; 21.910ms] or [-0.057%; +0.057%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[114105.639op/s; 114235.527op/s] or [-0.057%; +0.057%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[96.649ms; 96.744ms] or [-0.049%; +0.049%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[10336.729op/s; 10346.796op/s] or [-0.049%; +0.049%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[602.106µs; 602.334µs] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[166021.262op/s; 166084.090op/s] or [-0.019%; +0.019%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`a2f0f83`	1786056259	dependabot/submodules/libdd-ffe-test-suite/ffe-system-test-data-c017a15

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	5.342ms	5.359ms ± 0.008ms	5.359ms ± 0.005ms	5.363ms	5.370ms	5.375ms	5.426ms	1.26%	2.809	19.716	0.16%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	460718.475op/s	466512.547op/s ± 732.989op/s	466543.816op/s ± 419.553op/s	466960.632op/s	467463.068op/s	467735.715op/s	468030.630op/s	0.32%	-2.745	19.088	0.16%	51.830op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.943ms	7.959ms ± 0.008ms	7.957ms ± 0.003ms	7.961ms	7.970ms	7.995ms	8.002ms	0.56%	2.272	8.499	0.10%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124969.117op/s	125650.934op/s ± 130.570op/s	125669.149op/s ± 54.801op/s	125718.979op/s	125801.817op/s	125884.416op/s	125901.750op/s	0.19%	-2.255	8.412	0.10%	9.233op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	180.333µs	186.434µs ± 54.365µs	182.566µs ± 0.163µs	182.739µs	183.447µs	183.968µs	951.404µs	421.13%	14.034	194.976	29.09%	3.844µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	105107.875op/s	545465.483op/s ± 31325.569op/s	547747.723op/s ± 490.303op/s	548216.262op/s	549523.814op/s	551684.889op/s	554530.598op/s	1.24%	-13.994	194.220	5.73%	2215.052op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	[5.358ms; 5.360ms] or [-0.022%; +0.022%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[466410.962op/s; 466614.133op/s] or [-0.022%; +0.022%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.957ms; 7.960ms] or [-0.014%; +0.014%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[125632.838op/s; 125669.030op/s] or [-0.014%; +0.014%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[178.900µs; 193.969µs] or [-4.041%; +4.041%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[541124.061op/s; 549806.906op/s] or [-0.796%; +0.796%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`a2f0f83`	1786056259	dependabot/submodules/libdd-ffe-test-suite/ffe-system-test-data-c017a15

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	135.575µs	138.673µs ± 5.759µs	137.478µs ± 0.628µs	138.254µs	143.816µs	161.154µs	201.388µs	46.49%	7.813	73.963	4.14%	0.407µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[137.875µs; 139.471µs] or [-0.576%; +0.576%]	None	None	None

Baseline

Baseline benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`05d785e`	1786044193	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	156.475ns	160.192ns ± 2.596ns	159.788ns ± 1.615ns	161.144ns	165.433ns	167.477ns	169.465ns	6.06%	1.061	0.970	1.62%	0.184ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[159.832ns; 160.552ns] or [-0.225%; +0.225%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`05d785e`	1786044193	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	21.383ms	21.496ms ± 0.047ms	21.492ms ± 0.034ms	21.528ms	21.579ms	21.607ms	21.623ms	0.61%	0.248	-0.271	0.22%	0.003ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	115617.669op/s	116300.755op/s ± 256.009op/s	116322.937op/s ± 183.150op/s	116492.363op/s	116669.412op/s	116822.077op/s	116916.739op/s	0.51%	-0.237	-0.278	0.22%	18.103op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	96.196ms	97.086ms ± 0.366ms	97.075ms ± 0.219ms	97.289ms	97.567ms	97.785ms	100.169ms	3.19%	2.939	23.584	0.38%	0.026ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9983.167op/s	10300.311op/s ± 38.409op/s	10301.288op/s ± 23.244op/s	10326.080op/s	10345.742op/s	10369.651op/s	10395.400op/s	0.91%	-2.754	21.664	0.37%	2.716op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	592.806µs	594.428µs ± 0.733µs	594.438µs ± 0.477µs	594.820µs	595.585µs	597.117µs	597.215µs	0.47%	0.778	1.848	0.12%	0.052µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	167443.803op/s	168229.297op/s ± 207.296op/s	168226.202op/s ± 135.111op/s	168381.886op/s	168551.220op/s	168649.239op/s	168689.167op/s	0.28%	-0.766	1.813	0.12%	14.658op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	[21.490ms; 21.503ms] or [-0.031%; +0.031%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[116265.274op/s; 116336.235op/s] or [-0.031%; +0.031%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[97.035ms; 97.137ms] or [-0.052%; +0.052%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[10294.988op/s; 10305.634op/s] or [-0.052%; +0.052%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[594.326µs; 594.529µs] or [-0.017%; +0.017%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[168200.568op/s; 168258.026op/s] or [-0.017%; +0.017%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`05d785e`	1786044193	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	5.395ms	5.418ms ± 0.012ms	5.415ms ± 0.006ms	5.424ms	5.440ms	5.454ms	5.463ms	0.88%	1.045	0.827	0.22%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	457632.037op/s	461406.552op/s ± 1017.877op/s	461651.883op/s ± 483.270op/s	462114.891op/s	462593.330op/s	463024.416op/s	463404.549op/s	0.38%	-1.033	0.795	0.22%	71.975op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.937ms	7.949ms ± 0.007ms	7.949ms ± 0.003ms	7.952ms	7.956ms	7.978ms	7.994ms	0.57%	3.182	17.160	0.08%	0.000ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	125098.745op/s	125800.838op/s ± 106.392op/s	125809.585op/s ± 50.100op/s	125860.974op/s	125919.163op/s	125975.673op/s	125993.824op/s	0.15%	-3.159	16.986	0.08%	7.523op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	171.751µs	182.703µs ± 1.701µs	183.052µs ± 0.162µs	183.249µs	183.479µs	183.684µs	183.963µs	0.50%	-5.065	27.036	0.93%	0.120µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	543588.636op/s	547385.890op/s ± 5351.165op/s	546292.222op/s ± 482.644op/s	546698.100op/s	554015.695op/s	581039.533op/s	582239.088op/s	6.58%	5.161	27.968	0.98%	378.385op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	[5.417ms; 5.420ms] or [-0.031%; +0.031%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[461265.484op/s; 461547.620op/s] or [-0.031%; +0.031%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.948ms; 7.950ms] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[125786.093op/s; 125815.583op/s] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[182.467µs; 182.939µs] or [-0.129%; +0.129%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[546644.270op/s; 548127.510op/s] or [-0.135%; +0.135%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`05d785e`	1786044193	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sdk_test_data/rules-based	execution_time	125.506µs	128.366µs ± 5.493µs	127.371µs ± 0.685µs	128.145µs	133.358µs	147.202µs	188.917µs	48.32%	8.008	77.411	4.27%	0.388µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[127.604µs; 129.127µs] or [-0.593%; +0.593%]	None	None	None

github-actions · 2026-08-06T23:08:14Z

📚 Documentation Check Results

✅ No documentation warnings found!

📦 `libdd-ffe-test-suite` - ✅ No warnings

Updated: 2026-08-06 23:09:22 UTC | Commit: 6330c2f | missing-docs job results

datadog-prod-us1-5 · 2026-08-06T23:10:08Z

⚠️ Warnings

🚦 5 Pipeline jobs failed

Required checks pass | allchecks

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Test | Test x86_64-unknown-linux-gnu on centOS7 docker image

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API key is missing

Test | cargo test #macos-15

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Missing API key environment variable: Neither DATADOG_API_KEY nor DD_API_KEY found.

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github-actions · 2026-08-06T23:11:00Z

🔒 Cargo Deny Results

⚠️ 4 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-ffe-test-suite` - 4 error(s)

Show output

error[unmaintained]: Bincode is unmaintained
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:24:1
   │
24 │ bincode 1.3.3 registry+https://github.com/rust-lang/crates.io-index
   │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unmaintained advisory detected
   │
   ├ ID: RUSTSEC-2025-0141
   ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2025-0141
   ├ Due to a doxxing and harassment incident, the bincode team has taken the decision to cease development permanently.
     
     The team considers version 1.3.3 a complete version of bincode that is not in need of any updates.
     
     ## Alternatives to consider
     
     * [wincode](https://crates.io/crates/wincode)
     * [postcard](https://crates.io/crates/postcard)
     * [bitcode](https://crates.io/crates/bitcode)
     * [rkyv](https://crates.io/crates/rkyv)
   ├ Announcement: https://git.sr.ht/~stygianentity/bincode/tree/v3.0/item/README.md
   ├ Solution: No safe upgrade is available!
   ├ bincode v1.3.3
     └── (dev) libdd-ffe v0.1.0
         └── (dev) libdd-ffe-test-suite v39.0.0

error[vulnerability]: Invalid pointer dereference in `fmt::Pointer` impl for `Atomic` and `Shared` when the underlying pointer is invalid
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:53:1
   │
53 │ crossbeam-epoch 0.9.18 registry+https://github.com/rust-lang/crates.io-index
   │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
   │
   ├ ID: RUSTSEC-2026-0204
   ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0204
   ├ Affected versions of `fmt::Display` dereference the underlying pointer. This causes a invalid pointer dereference e.g., when a pointer created with `Atomic::null` or `Shared::null`. `fmt::Debug` impls and pre-0.9 `fmt::Display` impls, which do not dereference pointers, are not affected by this issue.
   ├ Announcement: https://github.com/crossbeam-rs/crossbeam/pull/1276
   ├ Solution: Upgrade to >=0.9.20 (try `cargo update -p crossbeam-epoch`)
   ├ crossbeam-epoch v0.9.18
     └── crossbeam-deque v0.8.5
         └── rayon-core v1.12.1
             └── rayon v1.10.0
                 └── criterion v0.5.1
                     └── (dev) libdd-ffe-test-suite v39.0.0

error[unsound]: Rand is unsound with a custom logger using `rand::rng()`
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:181:1
    │
181 │ rand 0.8.5 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unsound advisory detected
    │
    ├ ID: RUSTSEC-2026-0097
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0097
    ├ It has been reported (by [@lopopolo](https://github.com/lopopolo)) that the `rand` library is [unsound](https://rust-lang.github.io/unsafe-code-guidelines/glossary.html#soundness-of-code--of-a-library) (i.e. that safe code using the public API can cause Undefined Behaviour) when all the following conditions are met:
      
      - The `log` and `thread_rng` features are enabled
      - A [custom logger](https://docs.rs/log/latest/log/#implementing-a-logger) is defined
      - The custom logger accesses `rand::rng()` (previously `rand::thread_rng()`) and calls any `TryRng` (previously `RngCore`) methods on `ThreadRng`
      - The `ThreadRng` (attempts to) reseed while called from the custom logger (this happens every 64 kB of generated data)
      - Trace-level logging is enabled or warn-level logging is enabled and the random source (the `getrandom` crate) is unable to provide a new seed
      
      `TryRng` (previously `RngCore`) methods for `ThreadRng` use `unsafe` code to cast `*mut BlockRng<ReseedingCore>` to `&mut BlockRng<ReseedingCore>`. When all the above conditions are met this results in an aliased mutable reference, violating the Stacked Borrows rules. Miri is able to detect this violation in sample code. Since construction of [aliased mutable references is Undefined Behaviour](https://doc.rust-lang.org/stable/nomicon/references.html), the behaviour of optimized builds is hard to predict.
    ├ Announcement: https://github.com/rust-random/rand/pull/1763
    ├ Solution: Upgrade to >=0.10.1 OR <0.10.0, >=0.9.3 OR <0.9.0, >=0.8.6 (try `cargo update -p rand`)
    ├ rand v0.8.5
      └── (dev) libdd-common v5.1.0
          ├── libdd-capabilities-impl v3.0.0
          │   ├── (dev) libdd-ffe v0.1.0
          │   │   └── (dev) libdd-ffe-test-suite v39.0.0
          │   └── libdd-remote-config v2.0.0
          │       ├── libdd-ffe v0.1.0 (*)
          │       └── (dev) libdd-remote-config v2.0.0 (*)
          ├── libdd-ffe v0.1.0 (*)
          └── libdd-remote-config v2.0.0 (*)

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:243:1
    │
243 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── libdd-remote-config v2.0.0
          ├── libdd-ffe v0.1.0
          │   └── (dev) libdd-ffe-test-suite v39.0.0
          └── (dev) libdd-remote-config v2.0.0 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-08-06 23:12:03 UTC | Commit: 6330c2f | dependency-check job results

dd-octo-sts · 2026-08-06T23:24:04Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	89.19 MB	89.19 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.20 MB	8.20 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.06 MB	11.06 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	100.37 MB	100.37 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	26.63 MB	26.63 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	94.56 KB	94.56 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	191.42 MB	191.43 MB	+0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	1001.53 MB	1001.53 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	8.71 MB	8.71 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	94.56 KB	94.56 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	25.62 MB	25.62 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.01 MB	51.01 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.22 MB	23.22 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	96.04 KB	96.04 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	196.32 MB	196.33 MB	+0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	990.59 MB	990.59 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.73 MB	6.73 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	96.04 KB	96.04 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	27.55 MB	27.55 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	48.55 MB	48.55 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	79.47 MB	79.47 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.13 MB	9.13 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	95.12 MB	95.12 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.14 MB	11.14 MB	0% (0 B) 👌

dependabot Bot added dependencies Pull requests that update a dependency file submodules Pull requests that update submodules code labels Aug 6, 2026

dependabot Bot requested a review from a team as a code owner August 6, 2026 22:44

dependabot Bot added dependencies Pull requests that update a dependency file submodules Pull requests that update submodules code labels Aug 6, 2026

dependabot Bot requested review from leoromanovsky and sameerank and removed request for a team August 6, 2026 22:44

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chore(deps): bump libdd-ffe-test-suite/ffe-system-test-data from `d9d8020` to `c017a15` - #2328

chore(deps): bump libdd-ffe-test-suite/ffe-system-test-data from `d9d8020` to `c017a15`#2328
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📦 libdd-ffe-test-suite - ✅ No warnings

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🔒 Cargo Deny Results

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📦 `libdd-ffe-test-suite` - 4 error(s)