Old Cunglebung Road is a 0.6 km Medium 4WD trail in Buccarumbi, New South Wales, Australia. Average drive time is 4.88 minutes.
Old Cunglebung Road offers 4WD enthusiasts a quick but rewarding escape into the scenic backcountry near Buccarumbi. This medium-difficulty trail delivers genuine off-road character without requiring extensive time commitment—perfect for testing your vehicle's capabilities or adding to a longer adventure day. You'll navigate a compact 0.6 km route that showcases the rugged terrain typical of inland New South Wales.
The terrain combines natural track conditions with enough variety to keep your attention throughout the five-minute run. You'll experience authentic dirt road driving with firm surfaces that reward smooth vehicle control. The landscape surrounding Old Cunglebung Road reveals the region's pastoral character, with native bushland framing your passage. The trail's flat gradient means you can focus on line selection and obstacle awareness rather than extreme climbing or descent management.
Before heading out, ensure your 4WD is in good mechanical condition and carry essential recovery equipment—even shorter trails can present unexpected challenges. Check weather conditions beforehand, as inland NSW tracks can become slippery after rain. Bring water and ensure you have adequate fuel, as services near Buccarumbi are limited. This trail works brilliantly as part of a broader exploration of the area's back roads, and logging your drive on the Newtracs app helps build the community knowledge base for these lesser-known tracks.
Explore Old Cunglebung Road in the app
Offline maps, live conditions & more
0.6 km
Distance
5 min
Avg Time
8 km/h
Avg Speed
--
Steep Grade
See how many vehicles have driven this trail
Already have an account?
See who's driving this trail and when
Already have an account?
19°C
Light rain
6 km/h SSW
83%
19°C
0
7-Day Forecast
Patchy rain nearby
Moderate rain
Patchy rain nearby
Patchy rain nearby
Moderate rain
Moderate rain
Patchy rain nearby
Get offline topo maps, live conditions, and data-driven difficulty ratings.