I recently borrowed eth against cbeth (as I have been doing on other markets for months/years with no problems) from the PYTH CBETH/ETH market curated by RE7 labs (address 0xd75387f30c983be0aec58b03b51cca52337b496e38cf4effbe995531bf34901c - I can’t include links). Even though the market price of CBETH (as measured by aerodrome eth/cbeth pool, cbeth price on Coinbase, various other sources) has never dropped anywhere close to liquidation level, I was INSTANTLY liquidated and lost 13.345129594 ETH when I created my borrow position. It is totally irresponsible of RE7 to create a vault using a an oracle that is easily manipulated and encourage users to deposit here when they are GUARANTEED to get liquidated. I am not the first person to encounter this issue. any markets secured using the PYTH CBETH/USD price feed need to be closed and RE7 Labs should compensate me for my losses.
sorry about your situation, but what exactly are you reporting or seeking assistance on?
It could not be more clear what he is reporting and what he is seeking. He is reporting a malfunctioning oracle. He is seeking reimbursement from RE7.
Feel sorry for you, hardly believe this happened on morpho.
Pyth is a pull oracle, if no one is paying for a update, it can end up with a stale data.
whoever created the oracle should be responsible for it.
It’s very strange that no one update the price for cbeth, after all it’s such a common collateral.
Thank you for your patience here. We have now reviewed the incident in coordination with Pyth and we are able to share the following:
Incident Overview
On March 2, 2025, between 04:39:35 PM UTC and 04:44:03 PM UTC, three positions were liquidated in the cbETH/WETH market (LLTV: 94.5%) resulting in liquidations totalling approximately 14 ETH. The liquidations occurred in the following transactions:
The issue was not an oracle manipulation problem but rather caused by a timing mismatch in price updates related to how the cbETH/WETH market ingests Pyth data via push updates. The mismatch affected how cbETH and ETH values were reported, creating a short-lived skew in their ratio.
Push vs. Pull Architecture
- Most Pyth integrations use pull-based pricing, fetching prices from Pythnet on demand
- The cbETH/WETH market uses two push feeds and an off-chain scheduler, which update periodically the on-chain prices based on time and price deviation thresholds
- Morpho markets use an oracle interface that can independently read multiple price feeds
- There is no guarantee in the code or design for this market oracle that feeds update simultaneously to ensure price timestamps
- The oracle implementation used in this market does not check price timestamps, using the most recent values automatically
- This asynchrony can create temporary discrepancies in asset ratios
Timeline of Events
- ETH/USD: $2,327.50
- cbETH/USD: $2,538.14
- Thus cbETH/ETH = 1.091
- Pyth Benchmarks at this time showed these were accurate: $2,326.22 and $2,538.33
- ETH/USD updated to $2,405.22
- cbETH/USD remained at previous value ($2,538.33)
- This created an effective cbETH/ETH ratio of 1.055
- Liquidations occurred: 04:39:35 PM UTC to 04:44:03 PM UTC
- The discrepancy in ratio was sufficient to trigger liquidations given the high 94.5% LLTV
- ETH/USD: $2,490.76
- cbETH/USD: $2,718.57
- Thus cbETH/ETH = 1.091
Key Points
- The skew triggered automatic liquidations due to the market’s high loan-to-value setting.
- The issue was confined to a small window and promptly addressed.
Next Steps
- Improving technical infrastructure with Pyth to ensure more consistent, aligned price updates. This includes evaluating running an independent scheduler that can update on-chain prices at tighter intervals than currently used and working with Pyth to progress on Pulse and other tooling specifically designed to support borrow/lend applications.
- Expanding monitoring to detect and mitigate any future data delays.
This incident was isolated to the cbETH/WETH market. We are implementing measures to enhance system reliability and limit similar occurrences. We have not identified any systemic risks that require immediate changes to this or other markets relying on similar oracles.