Files
sif/modules/recon/tensorboard-exposure.yaml
T
TigahandGitHub fcccff5532 feat(modules): detect exposed ml experiment trackers (#243)
add recon modules for self-hosted training and experiment-tracking
platforms reachable without auth: mlflow, tensorboard, aim, and
determined disclose experiments, the artifact store, training run paths,
and cluster topology over unauthenticated apis.
2026-07-02 12:55:47 -07:00

52 lines
1.0 KiB
YAML

# TensorBoard Exposure Detection Module
id: tensorboard-exposure
info:
name: TensorBoard Exposure
author: sif
severity: medium
description: Detects an exposed TensorBoard instance; its unauthenticated data api discloses the training run source path and server version, and serves all logged scalars, graphs, images, and embeddings
tags: [tensorboard, ai, ml, mlops, training, exposure, recon]
type: http
http:
method: GET
paths:
- "{{BaseURL}}/data/environment"
matchers:
- type: status
status:
- 200
- type: word
part: body
words:
- "\"data_location\""
- type: word
part: body
words:
- "\"window_title\""
- type: word
part: body
words:
- "\"version\""
extractors:
- type: regex
name: tensorboard_version
part: body
regex:
- '"version"\s*:\s*"([^"]+)"'
group: 1
- type: regex
name: tensorboard_data_location
part: body
regex:
- '"data_location"\s*:\s*"([^"]+)"'
group: 1