diff --git a/detections/experimental/network/detect_dga_domains_using_pretrained_model_in_dsdl.yml b/detections/experimental/network/detect_dga_domains_using_pretrained_model_in_dsdl.yml
index f620692684..bff50ecdf0 100644
--- a/detections/experimental/network/detect_dga_domains_using_pretrained_model_in_dsdl.yml
+++ b/detections/experimental/network/detect_dga_domains_using_pretrained_model_in_dsdl.yml
@@ -12,7 +12,7 @@ search: '| tstats `security_content_summariesonly` values(DNS.answer) as IPs min
 how_to_implement: "
 * Steps to deploy DGA detection model into Splunk App DSDL. This detection depends on the Splunk app for Data Science and Deep Learning which can be found here - https://splunkbase.splunk.com/app/4607/ and the Network Resolution datamodel which can be found here - https://splunkbase.splunk.com/app/1621/. The detection uses a pre-trained 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-Deep-Learning-models-for-ESCU. 
 * Download the artifacts .tar.gz file from S3 bucket https://splunk-seal.s3.us-west-2.amazonaws.com/pretrained_dga_model_dsdl.tar.gz
-* Download pretrained_<detection_name>_model_dsdl.ipynb from https://github.com/splunk/security_content/notebooks
+* Download pretrained_dga_model_dsdl.ipynb from https://github.com/splunk/security_content/notebooks
 * Below steps need to be followed inside Jupyter lab 
   * Upload the pretrained_dga_model_dsdl.tar.gz file into app/model/data path using the upload option in the jupyter notebook.
   * Untar the artifact pretrained_dga_model_dsdl.tar.gz using tar -xf app/model/data/pretrained_dga_model_dsdl.tar.gz -C app/model/data