thc-hydra
hydra
thc-hydra | hydra | |
---|---|---|
18 | 27 | |
9,098 | 2,651 | |
- | 4.7% | |
5.6 | 8.5 | |
15 days ago | 7 days ago | |
C | C | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
thc-hydra
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Show HN: Hydra - Open-Source Columnar Postgres
Nice tool, only unfortunate name, consider changing it. Already very well know security tool named hydra https://github.com/vanhauser-thc/thc-hydra been around since 2001. Then facebook went ahead and named their config tool hydra https://github.com/facebookresearch/hydra on top of it. Like we get it, hydra popular mythology but we could use more original naming for tools
- Help with a brute force tool
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What's everyone working on this week (26/2023)?
I just started learning Rust, but I will begin building a brute-force tool. Hydra is great but lacks updates, IMHO. I started using Golang, but it sucks (I love the Go language, but it sucks for this type of task).
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The 36 tools that SaaS can use to keep their product and data safe from criminal hackers (manual research)
Hydra
- Unable to complete libssh2 handshake
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Password Attacks - Network Services
Hydra (https://github.com/vanhauser-thc/thc-hydra) starting at 2023-01-28 16:31:17 [WARNING] the rdp module is experimental. Please test, report - and if possible, fix. [WARNING] Restorefile (ignored ...) from a previous session found, to prevent overwriting, ./hydra.restore [DATA] max 3 tasks per 1 server, overall 3 tasks, 21112 login tries (l:104/p:203), ~7038 tries per task [DATA] attacking rdp://10.129.202.136:3389/ [STATUS] 166.00 tries/min, 166 tries in 00:01h, 20946 to do in 02:07h, 3 active [STATUS] 121.67 tries/min, 365 tries in 00:03h, 20747 to do in 02:51h, 3 active [3389][rdp] account on 10.129.202.136 might be valid but account not active for remote desktop: login: password: , continuing attacking the account. [STATUS] 86.29 tries/min, 604 tries in 00:07h, 20509 to do in 03:58h, 2 active [ERROR] all children were disabled due too many connection errors 0 of 1 target completed, 0 valid password found [INFO] Writing restore file because 2 server scans could not be completed [ERROR] 1 target was disabled because of too many errors [ERROR] 1 targets did not complete Hydra (https://github.com/vanhauser-thc/thc-hydra) finished at 2023-01-28 16:38:23
- Could use some help
- Github hydra scripts
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THC-Hydra in Rust FOSS Project
I am searching for people interested in coding an alternative to the thc-hydra project, with additional features (implementing the Shodan api to make it automated, etc...)
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THM HackPark
Hydra (https://github.com/vanhauser-thc/thc-hydra) starting at 2022-10-22 13:09:13
hydra
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Using ClickHouse to scale an events engine
Don't feel bad, lots of people get bitten by not reading all the way down to the bottom of their readme: https://github.com/hydradatabase/hydra/blob/v1.1.2/README.md... While Hydra may very well license their own code Apache 2, they ship the AGPLv3 columnar which to my very best IANAL understanding taints the whole stack and AGPLv3's everything all the way through https://github.com/hydradatabase/hydra/blob/v1.1.2/columnar/...
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Moving a Billion Postgres Rows on a $100 Budget
Columnar store PostgreSQL extension exists, here are two but I think I’m missing at least another one:
https://github.com/citusdata/cstore_fdw
https://github.com/hydradatabase/hydra
You can also connect other stores using the foreign data wrappers, like parquet files stored on an object store, duckdb, clickhouse… though the joins aren’t optimised as PostgreSQL would do full scan on the external table when joining.
- Hydra (YC W22) adds upsert to columnar Postgres
- Hydra
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Is ClickHouse Moving Away from Open Source?
New column store alternative : https://github.com/hydradatabase/hydra
HN: https://news.ycombinator.com/item?id=37571974
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Show HN: Hydra - Open-Source Columnar Postgres
some previous discussions:
https://news.ycombinator.com/item?id=37247945
https://news.ycombinator.com/item?id=36987920
and a relevant observation is that there are actually multiple license files in the repo so the consumer should read their explicit licensing section of the readme <https://github.com/hydradatabase/hydra#license> since the GitHub sidebar is misleading
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CDC from postgres to postgres.
Hydra DB Link to Github -> Worked well for aggregated query usecases but not for queries that build reports. Also, data insertion and updation is abyssmal on columnar dbs.
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How Query Engines Work
There's a lot of experience about db operation and how to approach MVCC encoded in PostgreSQL that shouldn't be underestimated.
[0]: https://github.com/hydradatabase/hydra
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Hydra: Column-Oriented Postgres
And just like last time, watch out for the misleading GitHub license detector because it's not entirely Apache as the GitHub summary claims but rather *some* is Apache and buried in the interior is some AGPL stuff: https://github.com/hydradatabase/hydra#license
What are some alternatives?
naive-hashcat - Crack password hashes without the fuss :cat2:
duckdb - DuckDB is an in-process SQL OLAP Database Management System
Metasploit - Metasploit Framework
citus - Distributed PostgreSQL as an extension
SQLMap - Automatic SQL injection and database takeover tool
ClickHouse - ClickHouse® is a free analytics DBMS for big data
elpscrk - An Intelligent wordlist generator based on user profiling, permutations, and statistics. (Named after the same tool in Mr.Robot series S01E01)
postgres - PostgreSQL in Neon
mimikatz - A little tool to play with Windows security
Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
PSKracker - An all-in-one WPA/WPS toolkit
vasco - vasco: Discover hidden patterns in your Postgres data