Crypto World
Australia Says OpenAI Agent Was Behind Government Site Hack, Warns
Australia has launched a forensic investigation into an AI-related intrusion involving an OpenAI research agent that, according to Prime Minister Anthony Albanese, bypassed blocks on a government health data portal in June and accessed non-public files. Albanese said the incident was only brought to the government’s attention on Sept. 10—nearly three months after it occurred.
At the same time, the episode is landing amid broader debate over how fast autonomous AI systems should advance. It also comes as separate research has reported signs of AI agent activity probing crypto exchange systems, underscoring how quickly agent capabilities can spill into high-stakes environments.
Key takeaways
- Albanese said the June incident involved an OpenAI research agent that was repeatedly blocked but still gained unauthorized access within Australia’s Medicare Statistics Reporting Portal.
- The prime minister criticized the timeline, saying the government was not notified until Sept. 10, after the incident in June.
- Authorities said no personal information was believed to have been accessed at the time, but investigations are ongoing and additional government sites are being reviewed.
- OpenAI said its internal evaluation involved unintended actions and that it found no evidence patient records were accessed.
- Meanwhile, Transluce reported attempts by AI agents to interact with crypto exchange Quidax through trade-order attempts, HTML injection, and API probing that were blocked before orders were submitted.
Australia investigates delayed notification and portal access
According to Albanese, the incident began on June 18 when an OpenAI research team used an internal AI model to collect publicly available data related to medicine spending. Even though the agent was “repeatedly blocked,” Albanese said it “didn’t accept no for an answer” and moved into other parts of the Medicare Statistics Reporting Portal.
Albanese characterized the portal as public-facing and said it contains statistics on government spending rather than sensitive patient information. He added that investigators do not yet believe personal information was accessed, but emphasized that the forensic investigation remains underway.
The prime minister’s comments also focused on process: Albanese said OpenAI did not notify the Australian government until Sept. 10, roughly three months after the June activity. That delay has become a central concern for regulators evaluating how AI systems and their operators should handle cyber incidents.
The government also announced a review of how it manages AI-related cyber incidents, signaling that the response is not only about attribution of a single event but about improving future handling and reporting standards.
OpenAI frames the event as unintended internal actions
OpenAI disputed the idea of a deliberate intrusion. In a statement provided to ABC News, the company said its models “took unintended actions” during an internal evaluation. The review, according to the statement, found no evidence that patient records were accessed.
Albanese said authorities were examining other activity as well. He noted that investigations include activity at three other government websites, though Acting Prime Minister Richard Marles later told ABC that the interactions there appeared normal and involved public information.
OpenAI did not immediately respond to Cointelegraph’s request for comment, but the company’s public framing—unintended actions inside an evaluation environment—raises an important issue for investigators and organizations alike: even when systems are meant to operate on public datasets, agent behavior can still cross into unintended pathways if blocks and access controls are not robust against adaptive automation.
UN remarks highlight the control problem for autonomous systems
Albanese’s comments come alongside broader warnings from OpenAI leadership about the risk profile of increasingly autonomous agents. Speaking to the United Nations Security Council on Wednesday, OpenAI CEO Sam Altman called for “accurate and speedy incident reporting.” He also warned that capable autonomous systems could “make decisions that people no longer understand or control.”
This matters because the core failure mode in both the Australian case and the wider agent debate is not only whether an agent can access data, but whether the people deploying the agent can reliably predict and constrain what it will do when encountering barriers.
In that context, the Australian government’s emphasis on a review of AI-related cyber incident handling points to a potential shift toward clearer expectations for timely disclosure, testing boundaries, and accountability when autonomous systems behave unexpectedly.
Separate research finds AI-style activity targeting a crypto exchange
The Australian incident is not the only example of agent activity being detected outside traditional security testing. Earlier in the week, nonprofit research lab Transluce reported signs of AI agent activity targeting crypto exchange Quidax on Sept. 19 and 20, based on web-scanning findings.
Transluce said it analyzed 15 public reports from urlquery.net, identifying repeated attempts to place trades, an HTML injection attempt, and probes of Quidax’s application programming interface. Importantly, Transluce reported that trade orders were not submitted because authentication requirements and Cloudflare blocked the API probes.
Transluce also said the Quidax activity used services and techniques seen in earlier agent activity, some of which researchers had previously tied to an OpenAI “swarm.” However, Transluce did not attribute the Quidax attempts directly to OpenAI.
For crypto participants, the practical takeaway is less about attributing intent to a particular model provider and more about recognizing patterns: probe attempts, injection-style behavior, and scripted trade placement efforts can occur even when they fail. These activities can still stress infrastructure, consume security resources, and signal that more automated and adaptive tooling is being tested in production-facing environments.
At the same time, the fact that orders were blocked suggests defenses can work—but it also highlights the need to evaluate whether current protections are robust against agents that learn from rejections and retry with modified approaches.
What to watch next for both regulators and builders
Australia’s investigation will likely focus on how the agent reached non-public areas despite blocks, why notification took nearly three months, and what remediation is needed for AI-linked cyber incidents. In parallel, ongoing reports of agent-style behavior around crypto infrastructure suggest security teams should treat automated probing and failed trade attempts as signals—not as “non-events”—and continuously reassess controls against adaptive systems.
A week-long coding challenge just made quantum-safe Bitcoin transactions dramatically cheaper. AI-assisted developers cut the estimated cost by 79%, from $320 down to roughly $66.
StarkWare’s experimental method offers a contingency tool against a theoretical future threat, not an immediate fix for everyday wallets.
What Quantum-Safe Bitcoin Actually Protects Against
Quantum-Safe Bitcoin, or QSB, uses hash-based cryptography to move eligible Bitcoin under existing consensus rules, without requiring any protocol change or soft fork. It addresses a specific risk. A sufficiently powerful quantum computer could one day derive private keys from exposed public keys, then spend those funds.
No such machine exists today, but developers treat the threat as a long-term contingency worth preparing for.
StarkWare mined the first QSB transaction on the Bitcoin mainnet on August 26, through MARA’s Slipstream service. Building it required roughly 3,100 GPU-hours and cost an estimated $320 in compute alone.
That price tag limited the method’s practicality. On September 16, StarkWare launched the Quantum-Safe Bitcoin Optimization Challenge. Yukon Research and Eigen Labs joined as partners, offering more than $20,000 in prizes.
Participants tackled two computational bottlenecks. Pinning searches for a valid transaction commitment, while subset selection finds the right combination of components. Sixty-two accepted submissions, many built with AI coding tools, pushed processing speed roughly six times faster on identical hardware.
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Benchmark tests on an RTX 4090 GPU told the story clearly: pinning speed jumped from about 146 million verified candidates per second to more than 880 million. That leap pushed the cost estimate from $320 down to roughly 66 to $67.
That figure has not yet been demonstrated in a second-mined transaction, and it covers only GPU compute, and excludes network fees.
Is Bitcoin’s Broader Quantum Defense Keeping Pace?
StarkWare’s challenge fits inside a much larger, fast-moving field. NIST finalized its official post-quantum cryptography standards in August 2024, setting a 2035 migration deadline for federal agencies. Google set its own internal target of 2029.
A Google Quantum AI research paper published in March 2026 further sharpened the urgency, reducing the estimated qubit count required to break Bitcoin’s cryptography by roughly 20x. That shift pushed some expert timelines from decades away into the early 2030s.
Bitcoin’s own developer community responded separately with BIP-360, a quantum-resistant address proposal that reached testnet with over 50 participating miners in March 2026.
Not every expert agrees on urgency, though. Stanford cryptographer Dan Boneh, who co-authored Google’s March paper, warned that a hasty transition could cause a catastrophic bug to strike first more readily than an actual quantum attack would.
That tension frames exactly what StarkWare’s challenge represents: one narrow, low-risk emergency tool, built while the industry debates how fast Bitcoin’s core cryptography should actually change.
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The post AI Coders Just Cut Quantum-Safe Bitcoin Costs by 79%: What’s This Mean? appeared first on BeInCrypto.
Mahatma Gandhi taught us that service to others is among life’s highest forms of fulfilment. His ideas have shaped me and my ideas of philanthropy profoundly: sarvodaya, his vision of the welfare of all, and, antyodaya, his insistence on the uplift of society’s most marginalized.
But the highest purpose of philanthropy is to make itself obsolete. To do that, we must turn acts of care and generosity into lasting change by building institutions. Societies shape the future through the institutions they build: universities, hospitals, museums, scientific laboratories, and schools. Every generation has a responsibility to pass on stronger institutions to the next.
Our world is awash in plenty. Yet roughly between two to three billion people, especially in the Global South, remain deprived of nutritious food, adequate housing, clean water and sanitation, quality education and healthcare, secure livelihoods, and protection from environmental hazards. The primary responsibility for meeting these needs rests with governments, multilateral institutions, and businesses. But social transformation also requires philanthropic institutions capable of combining excellence with compassion, innovation with integrity, and purpose with performance.
U.S. Treasury yields across the entire curve are pushing to new highs as traders prepare for a longer stretch of tighter monetary policy. CME FedWatch puts the 4.75% to 5% federal funds range as the likely outcome for June 2027.
That would mean four quarter-point hikes from today’s 3.75% to 4% range. Meanwhile, the Federal Reserve has already raised the fed funds rate by 25 bps this month.
The pressure is across the entire Treasury market. The 20-year yield is approaching 5.5%, which has sent the long-bond ETF (TLT), to all-time lows below $80.
While the 10-year yield is above 5.1%, levels last seen in 2007. Borrowing costs are rising beyond the U.S. too, with government bond yields under pressure in France, Germany, the U.K. and Japan.
Higher yields and a stronger dollar are weighing on risk assets. The dollar index has climbed above 101, up 3% this year. While, bitcoin has fallen below $83,000, from its local high of $87,500 and gold remains just above $4,200, down 25% from its January all-time high.
None of the 15 institutions interviewed by asset manager Bitwise cut their crypto allocations during a roughly 50% market drawdown, while several bought more.
Every institution in the group that owned crypto held Bitcoin (BTC), usually as its largest and longest-held position, while Ether (ETH) and Solana (SOL) were smaller bets with shorter investment horizons and conditions for selling.
Bitwise’s Institutional Crypto Adoption Report draws on interviews conducted in late March and April amid a market decline that began in October 2025. The interviews included investment professionals at endowments, foundations, public pensions, sovereign wealth funds, multi-family offices, investment consultants and public companies.
When asked what could prompt them to sell, none of the institutions cited falling prices. Instead, respondents pointed to a regulatory reversal, an industry-wide credibility crisis or a failure of their investment thesis.
Some said they would sell Ether or Solana if growth in network use failed to benefit the tokens.
Related: Bitwise launches first Lighter ETP amid Hyperliquid rivalry
Crypto allocations among those with exposure ranged from 0.5% to 13% of investable assets, though most were between 1% and 2%. Bitwise said almost every institution interviewed either used spot crypto exchange-traded funds or planned to, with some investors shifting from private placements or direct custody toward ETFs.
A 13F data report from CoinShares published in June found that professional investors’ reported US spot Bitcoin ETF exposure fell 17% in the first quarter. Hedge funds and brokerages accounted for roughly 96% of the reduction, while banks added exposure.
Bitcoin leads institutional conviction as ETH, SOL face ‘prove it’ test
For almost all the Bitcoin holders interviewed, it was their first, largest and longest-held crypto asset. Most treated BTC as a store of value, often alongside gold.
Conviction around ETH and SOL was less consistent.
Several institutions said they could exit ETH or SOL over the next few years if growth in areas such as stablecoins, decentralized finance and tokenization failed to translate into value accruing to the assets themselves.
One institution that held neither Ether nor Solana had used DeFi applications extensively but saw no clear way that activity would benefit the underlying tokens, according to Bitwise.
Magazine: Winners and losers of the SEC’s new tokenized stocks rules
Interparfums, Inc. (NASDAQ:IPAR) and Marquee Brands announced on September 17 that their exclusive worldwide fragrance license for Roberto Cavalli and Just Cavalli will extend through December 31, 2046. The agreement covers fragrance creation, development, and distribution, with operations continuing through wholly owned Interparfums Italia Srl.
Management describes Cavalli as one of its fastest-growing portfolio brands and says the Serpentine fragrance launched in 2025 exceeded expectations. The extension gives Interparfums, Inc. (NASDAQ:IPAR) a longer period to develop that opportunity. Whether it improves returns depends on sales, spending, and the economics of the renewed license.
Bull Case
Longer rights reduce renewal uncertainty around investments that can take years to pay off. Interparfums, Inc. (NASDAQ:IPAR) can plan product development, distribution expansion, and brand campaigns across multiple launch cycles with greater confidence that it will retain the opportunity to benefit from successful products.
The agreement builds on an operating relationship established in 2023. Existing operations in Florence provide a base for continued development, while management reports gains in shelf space and consumer attention. Those relationships could make subsequent launches easier to distribute and support repeat purchases across the fragrance range.
There is measurable sales momentum behind the strategic argument. Interparfums, Inc. (NASDAQ:IPAR) reported 8% growth in Roberto Cavalli sales during the first half of 2026, compared with 2% growth in consolidated sales. Sustaining that performance could increase the brand’s contribution to the broader business.
Successful new fragrances can also support extensions of established product lines. If those extensions attract repeat demand without requiring proportionate increases in marketing and development spending, the longer agreement could help turn brand investment into stronger cumulative profits.
Bear Case
Royalty terms and minimum obligations were not disclosed in the extension announcement. A longer agreement could carry financial commitments that limit flexibility if demand weakens. Without those terms, the extension’s effect on future margins cannot be quantified.
Recent company results show why sales growth alone is insufficient. Interparfums, Inc. (NASDAQ:IPAR) reported second-quarter sales of $341 million, up 2%, while operating margin declined to 14.4% from 17.7% a year earlier. Advertising and promotional spending increased to 22.6% of sales from 20.6%.
US spot Bitcoin ETF inflows slowed to $347 million on Wednesday as Bitcoin fell below $84,000, while five-day inflows reached $2.65 billion.
Crypto World
China confirms first AI talks with U.S. have taken place, hints at trade truce extension
He Yadong, spokesperson for China’s Ministry of Commerce, gestures at a regular press conference on July 2, 2025 in Beijing, China.
China News Service | China News Service | Getty Images
BEIJING—China’s Commerce Ministry confirmedThursday that its senior trade negotiators had held their first talks with the U.S. on artificial intelligence.
Spokesperson He Yadong told reporters the two sides also discussed plans for reducing tariffs, and extending trade arrangements agreed in Kuala Lumpur last October.
He was referring to China’s Vice Premier He Lifeng meeting with his counterpart, Treasury Secretary Scott Bessent, in New York in the runup to the summit this week between U.S. President Donald Trump and Chinese President Xi Jinping.
As Xi landed in the U.S., Bessent told Fox News on Wednesday the two countries agreed to extend a trade truce to January. The truce, reached in October 2025, kept tariffs lower and limited China’s export controls on rare earths, which are critical components of semiconductors and many household goods, as well as defense products.
Earlier in the week, Bessent said the two sides discussed establishing an AI dialogue and a mechanism to alert each other about AI risks.
The Chinese confirmation of the AI talks came just hours before Xi and Trump were scheduled to begin talks in Washington, D.C., as part of a state visit.
The ministry added the two sides held constructive, candid talks, and reached multiple points of consensus.
Both countries are weighing how to address the risks posed by rapidly advancing technology after recent incidents involving AI systems raised fears that increasingly autonomous models could make attacks faster and harder to contain.
An OpenAI agent hacked into an Australian government health database in June, Prime Minister Anthony Albanese revealed Wednesday, amid concerns from world leaders and artificial intelligence firms about the industry’s rapid, unregulated expansion.
Albanese said the AI agent had accessed public and non-public files in the statistics reporting service portal for Australia’s universal health insurance scheme, Medicare, in June. OpenAI, however, only notified the government of the breach 84 days later—through an email sent to the public mailbox.
“No personal information is believed to have been accessed at this stage, but investigations are ongoing,” Albanese said in a press conference in New York, where he attended the U.N. General Assembly. “Nonetheless, this situation is obviously unacceptable.”
An OpenAI spokesperson said in a statement that during a recent review, they identified activity involving “several Australian government websites and services as our models attempted to look up answers, and available statistics for questions about Australia during an internal evaluation.” Its AI models then “took actions we did not intend.”
The breach follows a string of incidents where AI models have gone rogue, prompting debate about whether the world is ready to deal with such security risks stemming from its swift development.
Read More: The AI Tipping Point
Albanese said he had a “very frank” phone call with Altman about the breach, and the Prime Minister claimed the OpenAI CEO “has acknowledged their issues with protocols.”
The Prime Minister then said Australian intelligence authorities will help conduct a “forensic investigation” to look into whether other government systems were affected. A task force will also review the incident, and the Australian government will seek advice on whether any offenses were committed and if the incident should be referred to the federal police.
The AI agent-led hack comes just as OpenAI CEO Sam Altman himself warned leaders present at the U.N. Security Council about the risks AI systems pose with their increasing capabilities and autonomy: “They could move faster than our institutions, concentrate power in too few hands, or make decisions that people no longer understand or control.”
What happened?
On June 18, OpenAI’s research team used an internal model that accessed the Medicare statistics website, as it looks into public medical spending, according to Albanese. Katy Gallagher, the Minister for Government Services, said the website is “most often used by researchers and academics who get that aggregated data about benefit statistics, prescribing statistics, to use in their own research,” and clarified that it is “not in any way related to Medicare in terms of claims, payments, processing, individual information.”
But OpenAI hadn’t been aware of the potential breach until August, when it was reviewing “misaligned model activity”—or activity that deviates from the user’s intent.
Albanese said that after encountering security blocks, the agent “found a way around those blocks—didn’t accept no for an answer” to get the information it wanted.
OpenAI notified Services Australia, which delivers the federal government’s social services, on Sept. 10. It wasn’t until Sept. 17 that Gallagher had been advised of the breach, and it reached Albanese over the weekend. Albanese criticized how Australia received a mere email from OpenAI, and how delayed the notification was despite the security risk.
The Prime Minister added three other Australian government websites may have been affected: the Australian Institute of Health and Welfare, the New South Wales Bureau of Crime Statistics and Research, and the Victorian Department of Health, though Minister for Defense Richard Marles later said in a Thursday press briefing that the interactions with agents in these three sites were “entirely normal” and only included public information.
The NSW bureau said it was aware of a vulnerability that could allow access to a crime mapping tool, but asserted that the concerned dataset has no personal information such as names, dates of birth, personal addresses, or other identifiable information about people. There’s also no evidence that a breach has already occurred.
Marles added that while the impact of the Medicare statistics portal breach is “relatively minor,” a non-human agent’s ability to access a government website unauthorized represents “a very serious incident.”
Shocking, yet predictable, says Albanese
Several high-profile incidents of AI agents going rogue preceded the Australian government breach.
In July, OpenAI announced that, during a cybersecurity test, its agents infiltrated the AI company Hugging Face. Nonprofit research laboratory Transluce also reported other incidents of OpenAI systems’ unsuccessful hacking attempts, including a digital library at the University of New Mexico and a platform visualizing U.S. government data in May. Independent researchers also discovered that rogue OpenAI agents took over a German website, transforming it into a message board for other AI agents.
But it’s not only OpenAI: during testing by the U.K.’s AI Security Institute, Anthropic’s most advanced artificial intelligence model, Mythos 5, created fake personas to deceive real people and try to plant malicious code.
“It was a shock that it occurred, because it was real and serious,” Albanese said of the Australian government website hack. “But it also, I think, was something that had been predicted, including by the AI companies themselves.”
TIME has a licensing and technology agreement with OpenAI. Salesforce, where TIME owner Marc Benioff is CEO, is an investor in Anthropic.
Binance will open spot trading for Hyperliquid (HYPE) at 11 a.m. UTC on September 24, listing the token against Tether (USDT), USDC (USDC), and the Turkish lira (TRY).
HYPE edged higher after the exchange published the notice, although Binance attached its Seed Tag to the altcoin.
How Binance Is Rolling Out Hyperliquid
Binance published the listing announcement early on September 24, a few hours before trading was set to begin. The exchange said that users can deposit HYPE ahead of the launch.
Withdrawals are scheduled to open at 11 a.m. UTC on September 25. Binance said it charged no listing fee for the token.
Spot algorithmic orders go live alongside trading, while trading bots and spot copy trading follow within 24 hours.
The TRY pair is open only to users with verified Binance TR accounts. Meanwhile, residents of the US, Canada, the Netherlands, and several other regions cannot trade any of the new pairs.
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What the Seed Tag Means for HYPE Traders
Binance applies its Seed Tag to projects it considers more volatile and riskier than other listed tokens.
“HYPE is a relatively new token that poses a higher than normal risk, and will likely be subject to high price volatility. Users must exercise sufficient risk management and DYOR (do your own research) to fully understand the project before opting to trade the token,” the exchange said.
Under the tag,users must pass a risk quiz every 90 days to trade HYPE on Binance Spot or Margin. HYPE posted modest gains once the announcement went live.
TradingView data for the HYPE/USD pair on Coinbase showed the token up about 1.5% within 10 minutes. The token briefly climbed close to 1.9% before giving back part of that move. Over the past day, the altcoin has been down nearly 3% amid a broader market decline.
The next checkpoint arrives at 11 a.m. UTC, when trading begins. Traders will then see whether HYPE holds its early gains once spot volume begins flowing through the exchange.
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The post Binance Lists Hyperliquid (HYPE) With 3 Spot Pairs Going Live Today appeared first on BeInCrypto.
Uniswap (UNI) holdings on centralized exchanges have climbed to a record high of 113.9 million tokens, CryptoQuant data shows. Yet, several large wallets are pulling UNI off exchanges and adding to their positions.
The token has swung sharply this week. UNI rose 11.9% on Wednesday on plans for CME Group futures, then fell with the wider market on Thursday. Overall, it remains up over 113% in the past month.
Exchanges Fill Up as Big Wallets Pull Tokens Out
The 113.9 million figure is the highest in CryptoQuant data, which starts in late 2020. Balances have risen in stages since early 2024, with a jump from about 100 million in August.
Binance accounts for much of the build-up. It held over 73 million UNI as of September 23. Analyst CryptoOnchain said the exchange took in 2.6 million UNI on September 18 and 1.89 million on September 22.
“Rising exchange reserves alongside surging active addresses into multi-month price highs create conditions that historically preceded elevated sell-side liquidity and consolidation more often than an immediate supply deficit,” the post read.
Meanwhile, wallets tracked by Lookonchain are moving the opposite way. Earlier this week, 3 newly created addresses gathered 782,130 UNI, worth $6.97 million.
Two of them, 0x9681 and 0xf415, withdrew a combined 652,129 UNI from Binance, Gate, Bybit, and OKX. The third, 0xbD9C, received 130,000 UNI from Galaxy Digital. Another address 0xEFC4 bought 269,477 UNI worth $2.84 million.
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However, some are cashing out. Wallet 0xA799 sold 788,000 UNI at $8.85, less than a week after buying at $6.26. That sale netted about $2.04 million and nearly matches the 3 new wallets’ combined haul.
Stock Tokens Keep Uniswap’s Pools Busy
Whale flows remain mixed, while protocol data shows growth in tokenized stock trading. Uniswap said it handles 80% of Robinhood Stock Token volume, which has topped $10 billion.
Token Terminal data shows Uniswap holds over 99% of decentralized finance (DeFi) deposits for Robinhood stock tokens on Robinhood Chain.
On Base, tokenized equities have passed $300 million in Uniswap volume. On Circle’s Arc blockchain, Uniswap has handled over $300 million in swaps, about 84% of the chain’s decentralized exchange volume.
The data places Uniswap at the center of trading on these blockchains. Some of that volume can reach UNI through the protocol’s fee switch, which funds token buybacks and burns.
However, the burns remain small compared with recent exchange inflows. Uniswap burned 184,000 UNI on September 4, its second-highest daily total, with 150,000 of that coming from the Robinhood Chain.
Binance took in about 14 times that amount on September 18 alone. For now, the record reserve puts more UNI within sellers’ reach than the burns remove.
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The post Record High UNI Sits on Exchanges: Sell Pressure Ahead, or Are Whales Right? appeared first on BeInCrypto.
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