> For the complete documentation index, see [llms.txt](https://hacking-notes.jord4n.pro/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hacking-notes.jord4n.pro/pt-br/ports-and-services/elasticsearch-9200.md).

# Elasticsearch - 9200

{% hint style="info" %}
Elasticsearch é um mecanismo de busca e análise em tempo real usado para indexar e pesquisar rapidamente grandes volumes de dados. Ele se integra à pilha ELK para fornecer recursos avançados de visualização e análise de dados.
{% endhint %}

### Elasticsearch - Vazamento de informações

#### A porta 9200 hospeda o Elasticsearch versão 6.4.2.

<figure><img src="/files/33476223cc5d0d026a2dc1cfbc8852d559c196f3" alt="" width="563"><figcaption></figcaption></figure>

<figure><img src="/files/6a51a8d408fad193a43bec6fa023c3c66f6dfcf3" alt=""><figcaption></figcaption></figure>

Acessando o `/_cat/indices?` A URL retorna uma lista de índices com seus UUIDs. Para extrair o conteúdo de um índice, use a seguinte URL:

`http://haystack.htb:9200/<index>/_search?pretty=true&size=1000`

<figure><img src="/files/9532a2c1c30c00857bf5026af2c8725767b6eb32" alt=""><figcaption></figcaption></figure>

**Filtragem de dados com Curl**

Usando as `quotes` index e filtrando pela palavra-chave do desafio, a informação relevante é encontrada:

```bash
curl -s -X GET "http://haystack.htb:9200/quotes/_search?pretty=true&size=1000" | jq | grep -Ei "clave"
```

<figure><img src="/files/0cac905fd4b3af0c08ea363a45ec65247022ca66" alt=""><figcaption></figcaption></figure>

**Decodificando strings codificadas em Base64**

Duas strings codificadas em base64 são recuperadas. Ao decodificá-las, as credenciais são reveladas:

```bash
echo -n "cGFzczogc3BhbmlzaC5pcy5rZXk=" | base64 -d; echo
echo -n "dXNlcjogc2VjdXJpdHkg" | base64 -d; echo
```

<figure><img src="/files/729bd14db01ce1d9d89006ad2943f7289afe1fcd" alt=""><figcaption></figcaption></figure>

**Usuário:** `segurança`/ **Senha:** `spanish.is.key`


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://hacking-notes.jord4n.pro/pt-br/ports-and-services/elasticsearch-9200.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
