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Description
Ultima | Front Shock Absorber (Single) | Nissan Skyline R32/R33 (Coils/S-S) No Bump Stop | 36S409AUltima Front Shock Absorber (Single) for Nissan Skyline R32 R33 (No Bump Stop) This Ultima Front Shock Absorber provides OE standard quality and reliable suspension performance for your Nissan Skyline R32 or R33 (applicable models only). Warranty 3 year 100000km Why Ultima? Ultima shocks are engineered for the harsh Australian conditions, providing durability and consistent performance. Designed as a direct OE replacement, they restore your vehicles
Ultima Front Shock Absorber (Single) for Nissan Skyline R32/R33 (No Bump Stop)
This Ultima Front Shock Absorber provides OE-standard quality and reliable suspension performance for your Nissan Skyline R32 or R33 (applicable models only).
Warranty
3 year / 100000km
Why Ultima?
Ultima shocks are engineered for the harsh Australian conditions, providing durability and consistent performance. Designed as a direct OE replacement, they restore your vehicle’s ride comfort and handling stability.
Key Features:
- Application: Front shock absorber (strut) for **Nissan Skyline R32 and R33**
- Fitment Note: Designed for models where the **Bump Stop is NOT integrated** into the shock body.
- Design: Twin-tube, nitrogen gas-charged (Restores original handling)
- Material: High-strength steel construction
- Performance: **Reliable, consistent, and quiet road control**
- Fitment: Direct OE replacement – no modifications required
- Unit of Measure: Sold individually (1 piece)
Technical Specifications
- Brand: Ultima
- Part Number (SKU): 36S409A
- System Type: Front Shock Absorber (Strut)
- Material: High-Strength Steel
- Position: Front
- Vehicle Model: Nissan Skyline R32 / R33
- Years: [Years]
- Use: **Passenger Vehicle**
Vehicle Fitment Information
| Make | Model | Series | Years | Position |
|---|---|---|---|---|
| Nissan | Skyline | R32 / R33 | [Years] | Front |
Important Information
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4.3 ★★★★★
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Product Reviews
★★★★★ 2
Just linear
Format: Paperback
I appreciate that it helps to organize the chaos of information, but I just used the template verbatim with my manager and it did not go very well. He said this linear approach does not work anymore with high-level corporate audiences. They want to cut right to the chase and start to dig into the deep details. This layout with simple images, even if you just pull away the map and anchor slides, makes the storytelling too much like a story, not giving enough credit to the speed at which certain audiences can and do process data on a slide. It was an interesting exercise and I still think this linear layout works in some cases. Just not if you are trying to communicate business case or other C-suite type of information.
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Reviewed in the United States on March 4, 2021
★★★★★ 5
Excellent AI security book
Format: Paperback
A necessary book for those who in work in the AI Security field. It is easy to read and easy to follow along with practice labs. The author did a good job incorporating the breadth of AI threats.
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Reviewed in the United States on January 10, 2026
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security.
This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation.
One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered.
If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026