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Submission + - Germany covers nearly 56 percent of 2025 electricity use with renewables (cleanenergywire.org)

Submitted by AmiMoJo
AmiMoJo writes: Renewable energy sources covered nearly 56 percent of Germany’s gross electricity consumption in 2025, according to preliminary figures by energy industry group BDEW and research institute ZSW. Despite a “historically weak” first quarter of the year for wind power production and a significant drop in hydropower output, the share of renewables grew by 0.7 percentage points compared to the previous year thanks to an increase in installed solar power capacity.

Solar power output increased by 18.7 percent over the whole year, while the strong growth in installed capacity from previous years could be sustained, with more than 17 gigawatts (GW) added to the system. With March being the least windy month in Germany since records began in 1950, wind power output, on the other hand, faced a drop of 5.2 percent compared to 2024.

Submission + - Ask HN: Has Bank of America been hacked? 1

Submitted by TempestRose
TempestRose writes: Tried to log in to Bank of America login today, both mobile on Android and web, and get asked for:
ACCOUNT # ?
SS#
PIN

WTH?
I've recieved physical mail letters saying
"WE will NEVER ask you for Account, SSN, or PIN"
, and yet here we are.

Obviously, I have used a login and password for BoA for years.
I do not remember the last time I logged in, but I'm sure it was in November 2025

I'd REALLY like to hear from the general HN populace on this, please.

Submission + - TerraUSD Creator Do Kwon Sentenced To 15 Years Over $40 Billion Crypto Collapse

Submitted by Anonymous Coward
An anonymous reader writes: Do Kwon, the South Korean cryptocurrency entrepreneur behind two digital currencies that lost an estimated $40 billion in 2022, was sentenced in New York federal court on Thursday to 15 years in prison for fraud and conspiracy. Kwon, 34, who co-founded Singapore-based Terraform Labs and developed the TerraUSD and Luna currencies, previously pleaded guilty and admitted to misleading investors about a coin that was supposed to maintain a steady price during periods of crypto market volatility.

Kwon was one of several cryptocurrency moguls to face federal charges after a slump in digital token prices in 2022 prompted the collapse of a number of companies. [...] Kwon was accused of misleading investors in 2021 about TerraUSD, a so-called stablecoin designed to maintain a value of $1. Prosecutors alleged that when TerraUSD slipped below its $1 peg in May 2021, Kwon told investors a computer algorithm known as "Terra Protocol" had restored the coin's value. Instead, Kwon arranged for a high-frequency trading firm to secretly buy millions of dollars of the token to artificially prop up its price, according to charging documents.

Submission + - Texas makes clean power breakthrough as solar output overtakes coal (reuters.com)

Submitted by AmiMoJo
AmiMoJo writes: For the first time, Texas' main power system looks set to generate more power from solar farms than coal plants during a calendar year in 2025, marking a key new energy transition milestone for the largest power network in the U.S.
The Electric Reliability Council of Texas (ERCOT) generated 2.64 million megawatt hours (MWh) of power from solar assets, compared with 2.44 million MWh of power from coal plants for the January-to-November period, according to data compiled by LSEG.

Submission + - Over 10,000 Docker Hub images found leaking credentials, auth keys (bleepingcomputer.com)

Submitted by joshuark
joshuark writes: More than 10,000 Docker Hub container images expose data that should be protected, including live credentials to production systems, CI/CD databases, or LLM model keys. After scanning container images uploaded to Docker Hub in November, security researchers at threat intelligence company Flare found that 10,456 of them exposed one or more keys.The most frequent secrets were access tokens for various AI models (OpenAI, HuggingFace, Anthropic, Gemini, Groq). In total, the researchers found 4,000 such keys.

"These multi-secret exposures represent critical risks, as they often provide full access to cloud environments, Git repositories, CI/CD systems, payment integrations, and other core infrastructure components," Flare notes

Additionally, they found hardcoded API tokens for AI services being hardcoded in Python application files, config.json files, YAML configs, GitHub tokens, and credentials for multiple internal environments.

Some of the sensitive data was present in the manifest of Docker images, a file that provides details about the image.Flare notes that roughly 25% of developers who accidentally exposed secrets on Docker Hub realized the mistake and removed the leaked secret from the container or manifest file within 48 hours.

However, in 75% of these cases, the leaked key was not revoked, meaning that anyone who stole it during the exposure period could still use it later to mount attacks.

Flare suggests that developers avoid storing secrets in container images, stop using static, long-lived credentials, and centralize their secrets management using a dedicated vault or secrets manager.

Organizations should implement active scanning across the entire software development life cycle and revoke exposed secrets and invalidate old sessions immediately.

Submission + - New OpenAI Models Likely Pose 'High' Cybersecurity Risk, Company Says (axios.com)

Submitted by Anonymous Coward
An anonymous reader writes: OpenAI says the cyber capabilities of its frontier AI models are accelerating and warns Wednesday that upcoming models are likely to pose a "high" risk, according to a report shared first with Axios. The models' growing capabilities could significantly expand the number of people able to carry out cyberattacks. OpenAI said it has already seen a significant increase in capabilities in recent releases, particularly as models are able to operate longer autonomously, paving the way for brute force attacks.

The company notes that GPT-5 scored a 27% on a capture-the-flag exercise in August, GPT-5.1-Codex-Max was able to score 76% last month. "We expect that upcoming AI models will continue on this trajectory," the company says in the report. "In preparation, we are planning and evaluating as though each new model could reach 'high' levels of cybersecurity capability as measured by our Preparedness Framework." "High" is the second-highest level, below the "critical" level at which models are unsafe to be released publicly.

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