Verus (VRSC) Sentiment & Fear and Greed Index
As of July 23, 2026, Verus's Nebula Fear & Greed Index is 23 (Fear), its social sentiment score is -82/100 (bearish), it holds 0.00% of crypto social mindshare. These signals are computed by Nebula from social posts across crypto Twitter/X and other sources, scored with large language models rather than keyword counts.
Updated continuously · Source: Nebula
Latest Verus insights
B² Network was exploited for $3.86 million, the third crypto hack today. Combined with exploits on AFX Trade ($24.15M) and the Verus Ethereum bridge, total losses reached $35.55 million.
AFX Trade was exploited for $24.15 million, contributing to $35.55 million in losses from three separate exploits on July 23, 2026. The Verus Ethereum bridge was also compromised, though the exact amount is undisclosed.
An exploiter of the Verus bridge returned approximately $8.5 million (4,052 ETH) after the project offered a bounty. The exploiter retained around $2.8 million (1,350 ETH) as a reward. Following the return, the Verus team patched the exploited bridge vulnerability and halted all affected components.
The Verus Ethereum cross-chain bridge was recently targeted in a suspected security exploit. This incident has resulted in estimated losses of approximately $11.58 million. The exploit was initially reported by a blockchain security firm.
Frequently asked questions
What is Verus's Fear & Greed Index?
Verus's Nebula Fear & Greed Index is currently 23 out of 100, which is Fear. The index blends social sentiment, social interest, price momentum, volatility, and emotional intensity into a single 0–100 sentiment score, updated continuously.
Is Verus bullish or bearish right now?
Verus's social sentiment is currently bearish, with a sentiment score of -82/100 based on how bullish or bearish the crypto social conversation is. Sentiment reflects the mood of the market, not price direction or financial advice.
How does Nebula measure Verus sentiment?
Nebula reads every relevant social post about Verus across crypto Twitter/X and other sources and scores it with large language models — capturing bullish/bearish tone, emotion, and who is speaking (from retail to smart money) — rather than counting keywords.
