要点
- CVE-2017-16082 是影响 pg (node-postgres), pg 的严重 (CVSS 9.8)漏洞。
- 未来 30 天内被利用的概率（EPSS）：10.4%，高于 95.7% 的漏洞。
- 修复：升级到 2.11.2, 3.6.4, 4.5.7, 6.4.2 或更高版本。
| Package | Affected versions | Patched versions |
|---|
| pg | ≥ 2.0.0, < 2.11.2≥ 3.0.0, < 3.6.4≥ 4.0.0, < 4.5.7≥ 6.0.0, < 6.4.2≥ 7.0.0, < 7.1.2> 5.0.0, < 5.2.1
| 2.11.23.6.44.5.76.4.27.1.25.2.1
|
| pg npm | ≥ 3.0.0, < 3.6.4≥ 4.0.0, < 4.5.7≥ 5.0.0, < 5.2.1≥ 6.0.0, < 6.0.5≥ 6.1.0, < 6.1.6≥ 6.2.0, < 6.2.5≥ 6.3.0, < 6.3.3≥ 6.4.0, < 6.4.2≥ 7.0.0, < 7.0.2≥ 7.1.0, < 7.1.2< 2.11.2
| 3.6.44.5.75.2.16.0.56.1.66.2.56.3.36.4.27.0.27.1.22.11.2
|
Description
Affected versions of pg contain a remote code execution vulnerability that occurs when the remote database or query specifies a crafted column name.
There are two specific scenarios in which it is likely for an application to be vulnerable:
- The application executes unsafe, user-supplied sql which contains malicious column names.
- The application connects to an untrusted database and executes a query returning results which contain a malicious column name.
Proof of Concept
const { Client } = require('pg')
const client = new Client()
client.connect()
const sql = `SELECT 1 AS "\\'/*", 2 AS "\\'*/\n + console.log(process.env)] = null;\n//"`
client.query(sql, (err, res) => {
client.end()
})
Recommendation
- Version 2.x.x: Update to version 2.11.2 or later.
- Version 3.x.x: Update to version 3.6.4 or later.
- Version 4.x.x: Update to version 4.5.7 or later.
- Version 5.x.x: Update to version 5.2.1 or later.
- Version 6.x.x: Update to version 6.4.2 or later. ( Note that versions 6.1.6, 6.2.5, and 6.3.3 are also patched. )
- Version 7.x.x: Update to version 7.1.2 or later. ( Note that version 7.0.2 is also patched. )
NVD description
A remote code execution vulnerability was found within the pg module when the remote database or query specifies a specially crafted column name. There are 2 likely scenarios in which one would likely be vulnerable. 1) Executing unsafe, user-supplied sql which contains a malicious column name. 2) Connecting to an untrusted database and executing a query which returns results where any of the column names are malicious.
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