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intel
hyperscan
C++2016–2026
intel / hyperscan

hyperscan

High-performance regular expression matching library

18Distinct people
49Mentions
0Explicit recommenders
5.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

High-performance regular expression matching library

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year49 dated mentions

Observed mentions: 2016-06-11 17:00:05 UTC to 2026-02-26 18:15:49 UTC.

02468102016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 8 mentions; 0 submissions, 8 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 7 mentions; 0 submissions, 7 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 9 mentions; 0 submissions, 9 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2026-01-01 00:00:00 UTC to 2027-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments. Incomplete calendar period.2026*

* An incomplete calendar period is marked with an outlined bar. Its count is not directly comparable with a full period.

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC808
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC707
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC413
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC505
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC909
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC404
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC404
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC202
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC303
2026 (partial)2026-01-01 00:00:00 UTC2027-01-01 00:00:00 UTC101

What Hacker News says

4 sources
The main difference is that binwalk goes through a file linearly, searching for patterns like magic bytes, and tries to extract everything it finds. The problems with this: - very noisy, finding a lot of false positives (license code, format inside another format, etc). - very slow, trying to extract irrelevant things - imprecise, because it finds patterns in the middle of a file, where it's actually not relevant on the first level of extraction unblob solves these problems by being smarter about the file formats, recognizing them by their specification, for example unpacks format header structs and carves out files based the information in the header (size, offset). See a simple example for NTFS [1]. We also went to great lengths preventing unnecessary work by skipping formats inside another [2]. We are using hyperscan [3] instead of gr
Read the rest
epping byte sequences with Python, which is orders of magnitudes faster. It can also handle 4Gb+ files because of this which binwalk cannot. It's used for a year now in production and it's way more precise and faster than binwalk. We are getting less false-positives too, and even if unblob fails to extract everything, we still get meaningful information out of firmwares, where binwalk just failed with no output previously. [1]: https://github.com/onekey-sec/unblob/blob/main/unblob/handle... [2]: https://github.com/onekey-sec/unblob/blob/main/unblob/proces... [3]: https://github.com/intel/hyperscan
In Show HN: Unblob – extraction suite for 30+ file formats

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