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**InfluxDB** is an open-source **time series database** (TSDB) developed by the company InfluxData.
A **time series database (TSDB)** is a software system that is optimized for storing and **serving time series** through associated pairs of time(s) and value(s).
Time series datasets are **relatively large and uniform compared to other datasets**―usually being composed of a timestamp and associated data. Time series datasets can also have fewer relationships between data entries in different tables and don't require indefinite storage of entries. The unique properties of time series datasets mean that time series databases can provide **significant improvements in storage space and performance over general purpose databases**. For instance, due to the uniformity of time series data, **specialized compression algorithms** can provide improvements over regular compression algorithms designed to work on less uniform data. Time series databases can also be **configured to regularly delete old data**, unlike regular databases which are designed to store data indefinitely. Special database indices can also provide boosts in query performance. (From [here](https://en.wikipedia.org/wiki/Time\_series\_database)).
From a pentester point of view this another database that could be storing sensitive information, so it's interesting to know how to dump all the info.
If you **get an error like** this one: `ERR: unable to parse authentication credentials` it means that it's **expecting some credentials**.
```
influx –username influx –password influx_pass
```
There was a vulnerability influxdb that allowed to bypass the authentication: [**CVE-2019-20933**](https://github.com/LorenzoTullini/InfluxDB-Exploit-CVE-2019-20933)
As the [**InfluxDB documentation**](https://docs.influxdata.com/influxdb/v1.2/introduction/getting\_started/) explains, SQL **measurements** can be thought of as SQL tables. As the **measurement** names above suggest, each one contains information which pertains to a specific entity
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