Valentine’s Day Crypto Warning: US Attorney Issues Crypto-Fueled Romance Scam Alert

ccn.comPublished on 2026-02-14Last updated on 2026-02-14

Abstract

The US Department of Justice has issued a Valentine’s Day warning about cryptocurrency-fueled romance scams. Fraudsters typically approach victims on dating sites or social media, using fake profiles and stolen photos to build emotional trust over weeks or months. They then fabricate emergencies and request payments in crypto, gift cards, or wire transfers—methods that are difficult to reverse. Recent cases include a Colorado man who lost $1.4 million after meeting a woman on a dating app who persuaded him to invest in crypto. According to Chainalysis, crypto scams received at least $14 billion in 2025, with impersonation scams surging by 1,400% compared to the previous year. Authorities advise conducting reverse image searches, consulting trusted friends before sending money, and reporting suspicious activity to the FBI.

Key Takeaways

  • The Department of Justice has issued a crypto warning as Valentine’s Day hits.
  • Real-world losses are escalating.
  • Crypto scam activity surged in 2025.

U.S. federal prosecutors are warning Americans not to let Valentine’s Day turn into a costly heartbreak, as romance scammers increasingly demand payment in cryptocurrency.

The U.S. Attorney’s Office for the Northern District of Ohio on Thursday urged the public to remain vigilant against online crypto romance scams that exploit victims’ trust and emotions.

Try Our Recommended Crypto Exchanges
Sponsored
Disclosure
We sometimes use affiliate links in our content, when clicking on those we might receive a commission at no extra cost to you. By using this website you agree to our terms and conditions and privacy policy.
"}' data-trk="6970dbafcbd599f15ce64045" href="https://links.ccn.com/links?code=6985b71f73f50d4865cba0f2" rel="nofollow" target="_blank">
ChangeNow<\/h3>"}' data-trk="6970dbafcbd599f15ce64045" href="https://links.ccn.com/links?code=6985b71f73f50d4865cba0f2" rel="nofollow" target="_blank">

ChangeNow

promotions
Receive 0.4% of the volume from each transaction with your referral link.<\/strong>"}' data-trk="6970dbafcbd599f15ce64045" href="https://links.ccn.com/links?code=6985b71f73f50d4865cba0f2" rel="nofollow" target="_blank"> Receive 0.4% of the volume from each transaction with your referral link.
Coins
217
Claim Offer
"}' data-trk="6899b9831836d97539c51aa6" href="https://links.ccn.com/links?code=693293fa4a5bcb6231949c97" rel="nofollow" target="_blank">
Bitunix<\/h3>"}' data-trk="6899b9831836d97539c51aa6" href="https://links.ccn.com/links?code=693293fa4a5bcb6231949c97" rel="nofollow" target="_blank">

Bitunix

promotions
Receive up to $100,000 worth of exclusive gifts for newcomers upon registration.<\/strong>"}' data-trk="6899b9831836d97539c51aa6" href="https://links.ccn.com/links?code=693293fa4a5bcb6231949c97" rel="nofollow" target="_blank"> Receive up to $100,000 worth of exclusive gifts for newcomers upon registration.
Coins
151
Claim Offer
"}' data-trk="67adf8d4f12aaec7e4808bf5" href="https://links.ccn.com/links?code=693291aa4a5bcb62319448b2" rel="nofollow" target="_blank">
Bitget<\/h3>"}' data-trk="67adf8d4f12aaec7e4808bf5" href="https://links.ccn.com/links?code=693291aa4a5bcb62319448b2" rel="nofollow" target="_blank">

Bitget

promotions
New user rewards up to 6,200 USDT.<\/strong>"}' data-trk="67adf8d4f12aaec7e4808bf5" href="https://links.ccn.com/links?code=693291aa4a5bcb62319448b2" rel="nofollow" target="_blank"> New user rewards up to 6,200 USDT.
Coins
89
Claim Offer
Explore All Offers

DOJ Flags Valentine’s Day Crypto Warning

Federal prosecutors said fraudsters typically approach victims on dating websites, social media platforms, and messaging apps, posing as romantic partners.

In a stark warning , titled “Cupid Doesn’t Ask for Crypto,” the DOJ explained how bad actors cultivate relationships over weeks or months before fabricating emergencies, travel needs, or medical crises.

Among the clearest warning signs, according to the Justice Department, are requests for payment in crypto, gift cards, or wire transfers, methods favored by scammers because they are hard to reverse.

The office said scammers frequently create fake profiles using stolen photos, claim to work overseas in the military or international business, and profess deep affection quickly.

The DOJ has issued a Valentine’s Day warning about crypto. | Source: DOJ

They often move conversations off mainstream dating platforms to private messaging apps and avoid meeting in person.

“Romance scammers are not looking for love — they are looking for money,” said U.S. Attorney David M. Toepfer for the Northern District of Ohio.

Adding: “They prey on trust and emotion and often target older Americans and vulnerable individuals. We urge everyone to slow down, verify identities, and never send money to someone they have not met in person.”

Regional Cases Underscore Growing Threat

Victims are advised to conduct reverse image searches of profile photos, consult trusted friends before sending funds, and report suspicious activity to the FBI’s Internet Crime Complaint Center (IC3).

In the report, authorities cited recent regional cases, including a Ghanaian national charged in an alleged scheme that took more than $8 million from elderly victims.

Last September, a Colorado man was also reported to have lost $1.4 million after falling victim to a crypto-linked romance scam.

The man, who first spoke to 9News , said he met a woman on Ashley Madison, a website marketed to married people seeking affairs.

After weeks of video chatting and exchanging photos, their conversations shifted to the woman’s interest in crypto and her view of it as a good opportunity for him.

Over roughly six weeks, the man said he made four separate cryptocurrency transfers, ultimately losing $1.4 million in retirement funds and life savings.

Crypto Scams Surge in 2025

The warning comes amid a broader surge in cryptocurrency-related fraud.

Blockchain analytics firm Chainalysis said in its 2026 report that crypto scams received at least $14 billion in on-chain funds last year, up sharply from initial 2024 estimates of $9.9 billion.

Based on historical trends, the firm projected that the 2025 total could exceed $17 billion as more illicit wallets are identified.

The average scam payment rose to $2,764 in 2025 from $782 in 2024, a 253% year-on-year increase, according to Chainalysis.

Impersonation scams, also known as Pig Butchering scams, recorded a 1,400% surge in inflows compared with the previous year.

Top Trending Crypto Articles
  • Best Exchanges Check Out Our Recommended Exchanges Here
  • Buy Crypto Fast How To Buy Crypto with a Credit Card Now
  • Safe Crypto Gambling See Our Picks for the Best Crypto Gambling Sites

Related Questions

QWhat is the main warning issued by the U.S. Department of Justice regarding Valentine's Day?

AThe U.S. Department of Justice has issued a warning about romance scammers who increasingly demand payment in cryptocurrency, urging the public to remain vigilant against online crypto romance scams that exploit victims' trust and emotions.

QWhat are some of the red flags mentioned by the DOJ to identify crypto romance scams?

ARed flags include requests for payment in cryptocurrency, gift cards, or wire transfers; scammers creating fake profiles using stolen photos; claiming to work overseas in the military or international business; professing deep affection quickly; and moving conversations off mainstream platforms to private messaging apps while avoiding in-person meetings.

QHow much did crypto scams receive in on-chain funds in 2025 according to Chainalysis?

AAccording to Chainalysis, crypto scams received at least $14 billion in on-chain funds in 2025, with projections that the total could exceed $17 billion as more illicit wallets are identified.

QWhat was the average scam payment in 2025 compared to 2024?

AThe average scam payment rose to $2,764 in 2025, which is a 253% increase from the $782 average in 2024.

QWhat advice does the DOJ give to avoid falling victim to these scams?

AThe DOJ advises victims to conduct reverse image searches of profile photos, consult trusted friends before sending funds, and report suspicious activity to the FBI’s Internet Crime Complaint Center (IC3). They also emphasize never sending money to someone they have not met in person.

Related Reads

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit1h ago

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit1h ago

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit1h ago

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit1h ago

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit3h ago

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit3h ago

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit3h ago

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit3h ago

Trading

Spot
Futures
活动图片