Merge pull request #2537 from splunk/appinspect_dsdl

fixup
splunk · Feb 7, 2023 · d2ddfc1 · d2ddfc1
2 parents 53279c3 + 7bb3539
commit d2ddfc1
Showing 1 changed file with 5 additions and 8 deletions.
diff --git a/...experimental/network/detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.yml b/...experimental/network/detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.yml
@@ -41,19 +41,15 @@ how_to_implement: 'Steps to deploy detect suspicious DNS TXT records model into
     deep learning model that needs to be deployed in DSDL app. Follow the steps
     for deployment here - `https://github.com/splunk/security_content/wiki/How-to-deploy-pre-trained-Deep-Learning-models-for-ESCU`.\
 
-  * Download the `artifacts .tar.gz` file from the link - `https://seal.splunkresearch.com/detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.tar.gz`.
+  * Download the `artifacts .tar.gz` file from the link - `https://seal.splunkresearch.com/detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.tar.gz`.\
 
-  * Download the `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.ipynb`
-    Jupyter notebook from `https://github.com/splunk/security_content/notebooks`.\
+  * Download the `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.ipynb` Jupyter notebook from `https://github.com/splunk/security_content/notebooks`.\
 
-  * Login to the Jupyter Lab assigned for
-    `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl` container.
-    This container should be listed on Containers page for DSDL app.\
+  * Login to the Jupyter Lab assigned for  `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl` container. This container should be listed on Containers page for DSDL app.\
 
   * Below steps need to be followed inside Jupyter lab.\
 
-      * Upload the `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.tar.gz` file
-        into `app/model/data` path using the upload option in the jupyter notebook.\
+      * Upload the `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.tar.gz` file into `app/model/data` path using the upload option in the jupyter notebook.\
 
       * Untar the artifact `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.tar.gz` using `tar -xf app/model/data/detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.tar.gz -C app/model/data`.\
 
@@ -62,6 +58,7 @@ how_to_implement: 'Steps to deploy detect suspicious DNS TXT records model into
       * Save the notebook using the save option in Jupyter notebook.\
 
       * Upload `detect_suspicious_dns_txt_records_using_pretrained_model_in_dsdl.json` into `notebooks/data` folder.'
+
 known_false_positives: False positives may be present if DNS TXT record contents
   are similar to benign DNS TXT record contents.
 references: