$775K Ajna exploit exposes risks beyond DeFi price oracles
Ajna Protocol, a lending platform that operates without price oracles, reportedly lost around $775,000 in ETH. The exploiters used the internal liquidation accounting of the platform instead of using third-party price feeds in their attack.
The assault impacted a number of liquidity pools, such as syrupUSDC, wstETH, rETH, cbETH, WBTC, WETH/USDC, and sDAI. However, it raises questions about an important aspect of Ajna’s philosophy – the absence of oracles and governance and the self-pricing market.
The attacker profited from this very assumption.
The oracle Ajna deliberately left out
The majority of lending protocols make use of an external service such as Chainlink to establish the prices of collateral. Ajna, however, intentionally does not do this. In fact, its white paper describes the protocol as follows:
“The Ajna protocol is a non-custodial, peer-to-peer, permissionless lending, borrowing and trading system that requires no governance or external price feeds to function.”
Rather, lenders determine the rates at which they will lend by putting money into “buckets” of a fixed amount, and it is the contracts in the protocol that determine when the loan is to be liquidated. For the initiation of a liquidation process, a liquidation bond should also be paid by the person initiating the liquidation process, imposing a financial penalty in case there is a liquidation without any justification.
MixBytes, a security company, explained the thinking behind the elimination of the oracle:
“a significant portion of attacks on DeFi protocols stem from oracle prices manipulations, errors in configuration and access control issues.”
Ajna’s remedy was to eliminate the attack surface and trust the pool’s operations. Defimon’s warning hints that the assailant zeroed in on this internal mechanism — stealing by way of liquidated accounting manipulation instead of compromising the external price oracle.
An hour of warning that went unanswered
Then, the hacker traversed numerous pools. As per the report, the syrupUSDC pool has incurred losses of approximately $173,700 from a total loss of about $775,000.
The loss is quite huge for Ajna. As per the DefiLlama report at the time, the total value locked (TVL) for Ajna V2 stood at about $206,000. The active loans were pegged at around $418,000, while it registered a 30-day TVL variation of -54.2%. At the time, the reported loss due to the attack exceeded the TVL of Ajna. The live data of DefiLlama has changed since then.
Break the code, or make it believe something impossible
The larger question is whether the attacker hacked Ajna’s code or tricked the system into accepting false data as valid.
The evidence suggests that the latter is the case. The audit history published by Ajna includes past findings related to “take” computations during the liquidation process and instances when accounting was done incorrectly for the bucket state, among others. Those issues have already been deemed to be fixed; nevertheless, they provide proof of issues related to liquidation and accounting logic.
The pattern is a common one. Cryptopolitan has reported earlier about Moonwell, where the assailant used approximately $7 million in the process of lifting the illiquid MAMO token by eight times and then borrowing nearly $10 million of real assets and finally leaving with close to $6 million.
According to Nethermind, these methods of attack work like this:
“they force the contract to calculate a distorted price and exploit it before the transaction ends.”
Ajna got rid of the oracle, but it still requires its contracts to trust its calculations.
V2’s architecture becomes the real story
| Pre-attack | Ajna V2 TVL / affected pool liquidity |
| Trigger | First anomalous transaction |
| Exploit | Contract function + assets manipulated |
| Extraction | Assets transferred from the protocol |
| Conversion | DEX swaps / stablecoins acquired |
| Escape | Bridges / CEXs / other protocols |
| Residual exposure | Remaining bad debt or impaired liquidity |
| Recovery | Frozen assets / white-hat recovery / protocol response |
| Reported exploit loss | TBD | — | Awaiting Ajna’s investigation/confirmed on-chain accounting |
| TVL | $449,783 | -17.1% | Measures capital still held in V2 contracts |
| Active loans | $30,198 | Not reported | Indicates outstanding borrower exposure |
| Tracked pools | 5 | — | Useful denominator for determining whether the incident is isolated or systemic |
| Ethereum TVL | $425,825 | — | 94.7% of V2 TVL |
| Arbitrum TVL | $8,552 | — | Smaller cross-chain exposure |
| Base TVL | $7,354 | — | Smaller cross-chain exposure |
| Rari TVL | $3,555 | — | Smaller cross-chain exposure |
| OP Mainnet TVL | $3,227 | — | Smaller cross-chain exposure |
Ajna V2 currently has about $450,000 in TVL against $30,200 in active loans, while TVL has fallen 17.1% over 30 days.
One useful analytical statistic is that active loans equal only about 6.7% of reported TVL. That makes the key investigative question particularly interesting: is the suspected exploit affecting outstanding debt accounting, deposited liquidity, or both? So the question becomes, “What assumption did V2 introduce that an attacker could turn into money?”
A small pool in a record year for exploits
The $775,000 loss is modest beside the largest crypto hacks of 2026, but it fits a broader pattern.
TRM Labs counted 207 hacks in the first half of the year, the highest number it has recorded in a six-month period, with the typical incident costing about $219,000. More than 100 involved smaller smart-contract exploits.
Infrastructure and operational compromises represented only about 15% of incidents but accounted for roughly 76% of total losses.
Ajna therefore illustrates a different part of the security problem: losses do not need to come from spectacular exchange breaches or compromised private keys. They can emerge from the assumptions buried inside DeFi’s increasingly complex lending logic.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
US Treasury yield curve approaches inversion! Is the bond market questioning the outlook for the US economy?
The U.S. Treasury yield curve is rapidly approaching the inversion threshold—the spread between the 10-year and 2-year yields has narrowed to historic lows, and bank stocks have responded with a technical correction. This warning signal, regarded as a "hard rule" for recession, is tearing apart market consensus: some are betting the curve will soon invert, while others firmly believe economic resilience will mitigate the risk. Amid ongoing Federal Reserve rate hikes, the outcome of this bond market game may reshape the narrative logic of the entire asset market.

From ICU to KTV! The Polarized "AI Narrative" Leaves Investors "Exhausted"
In just two weeks, the Nasdaq 100 experienced an extreme rollercoaster: first losing $600 billion in market value due to “AI threat” concerns, then rebounding to reclaim $3 trillion thanks to the viral Meta assistant. Analysts believe that market sentiment is swinging violently between fear and greed, detached from fundamentals. The turmoil has driven Nvidia’s valuation to a ten-year low, intensified the bull-bear divide, and the high volatility driven by narratives has become a long-term norm for investors. This week, Micron will release its financial report; regardless of the outcome, the sharp swings in market sentiment are unlikely to subside.
Weekly Preview: Micron (MU.US) earnings test the quality of AI infrastructure, OpenAI and White House AI meeting resonance, PCE and Nonfarm Payrolls set the tone for October interest rates
This week, the market's focus will shift from politics and product launches to financial reports and macroeconomic data.
"Over 5% 10-Year US Treasury Yield" Fails to Crush AI Investment Frenzy—Is the Real "AI Kill Line" an Inverted Yield Curve?
The bond market is gradually sending warning signals to the economy, indicating that the Federal Reserve's series of interest rate hikes will begin to shift market sentiment, making people increasingly concerned that the US economy may fall into stagnation.

