Edgen Crypto·Nov 30 2025, 00:05
[1] A dormant Ethereum pre-mined address that has been ... (https://www.rootdata.com/news/427033 ...)[2] An Ethereum pre-mined address dormant for over 10.3 ... (https://www.bitget.com/news/detail/1256060506 ...)[3] A certain Ethereum pre-mine address dormant for 10 years ... (https://www.weex.com/news/detail/1037eth-1149 ...)
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Nov 29 2025, 18:15
SEC's Peirce Champions Self-Custody as Digital Asset Act Delay Extends Regulatory Uncertainty
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Nov 29 2025, 15:56
Sahara AI Token Price Collapses Over 50%, Breaching Key $0.04 Level
## Executive Summary The price of the **Sahara AI** token (**$SAHARA**) experienced a significant collapse, declining by over 50% within a 24-hour period to trade below the $0.04 mark. This sharp downturn follows a period of notable volatility, erasing gains accumulated after its initial exchange listing and highlighting substantial bearish sentiment in the market for this AI-focused digital asset. ## The Event in Detail Market data reveals that the **$SAHARA** token's price fell sharply from a previous 30-day low of approximately $0.071 to beneath $0.04. This represents a stark deviation from its recent trading range and a significant break below previously identified technical support levels. The token had launched at $0.02 and, following a listing on a major exchange, surged to an all-time high of $0.16 before correcting. Prior to the crash, the token appeared to be stabilizing around the $0.078 level. The 24-hour trading volume was reported to be approximately $1.53 million, indicating a flurry of sell-side activity. ## Market Implications The rapid 50% price depreciation indicates a severe loss of investor confidence and suggests a period of price discovery may be underway. Such dramatic sell-offs can signal waning short-term adoption or a mass exit driven by profit-taking from early investors. The event underscores the high-risk nature of newly listed altcoins, which are often subject to volatile dynamics where initial hype leads to unsustainable price surges followed by sharp corrections. For **$SAHARA**, this volatility could deter more conservative investors and negatively impact the stability of its ecosystem, which relies on native staking to support network functions. ## Broader Context The trajectory of **$SAHARA**—a rapid ascent post-exchange listing followed by a precipitous fall—is a familiar pattern in the cryptocurrency market. It serves as a case study in the volatility inherent in tokens tied to emerging technology narratives like AI. While the promise of AI-driven ecosystems attracts speculative interest, the underlying value and long-term viability of such projects are often tested by market sentiment and an asset's ability to maintain stable support levels. The breach of the $0.0747 support level, previously noted by analysts, likely triggered automated sell orders and exacerbated the downward momentum, pushing the price closer to its all-time low of $0.02.
Nov 29 2025, 15:08
OpenAI Confirms API User Data Exposure Following Breach at Analytics Vendor Mixpanel
## Executive Summary **OpenAI** has confirmed a data security incident where metadata belonging to some users of its API platform was exposed. The breach originated not at **OpenAI** itself, but at **Mixpanel**, a third-party analytics vendor. The exposed dataset included names, email addresses, approximate locations, and user IDs. Crucially, the company clarified that sensitive information—including passwords, API keys, and payment details—was not compromised. In response, **OpenAI** has suspended its use of **Mixpanel**'s services and is in the process of notifying all affected users, urging them to exercise caution regarding potential phishing attempts. ## The Event in Detail The security breach was first detected by **Mixpanel** on November 9. An unauthorized actor gained access to **Mixpanel**'s systems and utilized an export function to exfiltrate a dataset containing profile information linked to **OpenAI**'s API platform. The compromised metadata includes user profiles, names, email addresses, coarse location data, browser and operating system details, referring websites, and internal organization or user IDs. **OpenAI** has been explicit that the breach did not expose any API request content, usage data, credentials, or financial information. The company was notified by **Mixpanel** about the incident and has since paused all data sharing with the analytics provider while a full investigation is conducted. Affected developers and organizations are being directly notified via email. ## Market Implications This incident underscores the significant operational and reputational risks associated with third-party vendors in the technology supply chain. While not a direct breach of **OpenAI**'s core systems, the event highlights how vulnerabilities in partner ecosystems can impact a company's data security. For the broader AI and tech industries, this serves as a critical reminder of the importance of rigorous vendor security assessments. The exposure of user metadata, even without financial details, provides ammunition for sophisticated phishing attacks, potentially eroding user trust in the affected platforms. This event is likely to prompt a wider re-evaluation of data-sharing policies with external analytics and marketing tools across the sector. ## Expert Commentary Security analysts note that this type of supply chain attack is increasingly common. The attacker leveraged existing data export mechanisms within **Mixpanel**, a tactic that emphasizes the need for robust access controls and monitoring of third-party platforms. The consensus is that while the scope of the data leak was limited, the reputational impact can be significant. The primary risk for affected users is now targeted phishing schemes. Experts advise all companies relying on third-party software integrations to conduct thorough security audits and ensure their vendors meet stringent data protection standards. ## Broader Context The **OpenAI** incident occurs within a larger landscape of escalating digital security threats. Major technology companies are increasingly warning users about sophisticated scams, particularly phishing and impersonation attacks. This event serves as a case study in how data from one platform can be weaponized to target users on another. The reliance on interconnected digital services means that a single vendor's vulnerability can have cascading effects, reinforcing the need for a comprehensive, defense-in-depth security posture for both corporations and individual users.