Borrowing on Jup Lend is designed to be efficient, transparent, and secure, but like all DeFi activities, it involves certain risks. Understanding them helps you manage your vault safely and make informed decisions.
Collateral value fluctuation
The main risk when borrowing is a drop in your collateral’s market value.
If your collateral token (e.g., SOL, mSOL, or JitoSOL) decreases in price, your Loan-to-Value (LTV) ratio increases.
When your LTV exceeds the Liquidation Threshold (LT), your vault becomes eligible for partial liquidation, meaning a portion of your collateral will be sold automatically to repay part of your debt and restore safety.
Example: When liquidation can happen
You deposit 10 SOL worth $2,000 and borrow $1,200 USDC.
Your LTV = 60%, and your Liquidation Threshold = 75%.
If SOL’s price drops by 20% (from $200 → $160), your collateral is now worth $1,600, and your LTV becomes 75%.
Your position is now at risk of liquidation, and the protocol will sell only the minimum amount of SOL needed to restore your vault’s health.
Tip: Keep your Health Factor above 1.2 to remain safe during volatile markets.
Liquidation risk
If your Health Factor (HF) drops below 1.0, Jup Lend will automatically liquidate a small portion of your position.
This mechanism protects both you and the protocol from accumulating bad debt.
Jup Lend’s slot-based liquidation system ensures that liquidations are:
- Efficient, grouping multiple vaults per slot
- Partial, never removing more collateral than necessary
- Stable, avoiding cascading or chain liquidations.
Liquidation penalties are among the lowest in DeFi (< 0.15%), but maintaining a healthy buffer is always safer than relying on liquidations.
Borrow interest and accrued debt
Borrowed positions accumulate variable interest over time.
Interest compounds continuously based on pool utilization:
• When many users borrow from a pool, rates rise.
• When liquidity is abundant, rates fall.
Each block, a small portion of interest is added to your outstanding debt.
If you leave a position open for long periods, your total debt gradually increases.
Oracle and price feed risks
Jup Lend relies on multiple oracle providers (Pyth, Chainlink, and Redstone) to deliver real-time, verified price data.
In rare cases, oracles can experience latency or inaccurate updates.
To mitigate these risks, Jup Lend enforces several safeguards:
- Freshness checks: price data older than 60 seconds isn’t used for user actions.
- Confidence limits: only prices within a 2–4% confidence range are accepted.
- Redundancy: if one oracle feed fails, others ensure consistent data.
The oracle system uses a hop-based aggregation model, combining multiple sources to produce stable and manipulation-resistant pricing.
Smart contract and protocol risks
All Jup Lend operations are powered by on-chain smart contracts.
While they have been audited by Zenith and Offside, smart contracts always carry a residual risk of bugs or exploits.
Always interact only with verified Jup Lend interfaces and official links.
Network and liquidity risks
Jup Lend runs on Solana, known for speed and low fees.
However, short-term network congestion or RPC instability can occasionally delay transactions or updates.
Liquidity within pools can also fluctuate. When a pool’s utilization is high, interest rates rise automatically to balance supply and demand, protecting depositors and keeping the system stable.