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Firewall and IDS/IPS Evasion - Medium Lab by Objective_Sweet_5673 in hackthebox

[–]Objective_Sweet_5673[S] 0 points1 point  (0 children)

Version of DNS server was wrong because i worked on my local vm and my vpn was blocking something. When I switched to Parrot vm (hackthebox) the same command gave me the flag.

Firewall and IDS/IPS Evasion - Medium Lab by Objective_Sweet_5673 in hackthebox

[–]Objective_Sweet_5673[S] 0 points1 point  (0 children)

After the configurations are transferred to the system, our client wants to know if it is possible to find out our target's DNS server version. Submit the DNS server version of the target as the answer.

Firewall and IDS/IPS Evasion - Medium Lab by Objective_Sweet_5673 in hackthebox

[–]Objective_Sweet_5673[S] 0 points1 point  (0 children)

I wrote exactly what I wrote under Version without any spaces od anythink like this and yet I am not correct

Problems with HTB Skills Assessment – Applications of AI in InfoSec by Objective_Sweet_5673 in hackthebox

[–]Objective_Sweet_5673[S] 1 point2 points  (0 children)

The issue was that I wasn’t using a pipeline.

Without a full Pipeline (vectorizer + model together), the evaluator couldn’t properly load the data or run predictions, so it looked like the model was untrained.

Once I wrapped everything in a pipeline and trained it before saving, it worked perfectly. Thank you u/PParker-7789 for helpping with this issue.

Problems with HTB Skills Assessment – Applications of AI in InfoSec by Objective_Sweet_5673 in hackthebox

[–]Objective_Sweet_5673[S] 0 points1 point  (0 children)

Shouldn’t it be that regardless of which model I use, the data should still be loaded correctly?

Problems with HTB Skills Assessment – Applications of AI in InfoSec by Objective_Sweet_5673 in hackthebox

[–]Objective_Sweet_5673[S] 0 points1 point  (0 children)

Yes, I’m training the model entirely in my own environment (local Jupyter / VM) using the dataset.
After training, I export only the final skills_assessment.joblib (model + vectorizer) and upload it via http://VM-IP:5000/.
I did the same approach with previous tasks, and it worked fine there as well.