Ethereum mainnet activity data for January looks good, with daily active addresses approaching 1 million at one point, even briefly reaching 1.3 million on January 16th, surpassing several Layer 2 networks. However, behind this impressive data, there is an uncomfortable truth: a large amount of fake activity is infiltrating the metrics.
“False Prosperity” in Activity Data
According to Token Terminal statistics, Ethereum’s daily active addresses did see a noticeable rebound in January. But security researcher Andrey Sergeenkov points out that the authenticity of this data warrants skepticism.
Time Point
Daily Active Addresses
Notes
Early January
About 1 million
Approaching
January 16
About 1.3 million
Peak
Mid to late January
About 950,000
Decline
This fluctuation is not entirely due to genuine on-chain activity growth but is highly related to address poisoning and similar attacks.
Address Poisoning Attacks: A New On-Chain Threat
Address poisoning is a relatively new attack method that appears simple in principle but has significant effects:
Attack Method: Attackers send大量 small stablecoin transfers to numerous wallets in bulk
Fake Effect: These tiny transfers cause fake addresses to appear in victims’ transaction records
Targeted Deception: Victims viewing transaction history may mistakenly believe these fake addresses are real, leading to erroneous fund transfers
Data Pollution: These false transfer activities are counted in on-chain active address statistics, inflating the apparent activity
Dual Impact on On-Chain Data
This type of attack directly impacts Ethereum data analysis:
Active address count is overestimated
While the number of addresses seems to be increasing, many are “activated” merely because they received poisoning transfers. These addresses haven’t engaged in genuine on-chain interactions; they are passive victims of attacks.
Difficulty in accurately assessing on-chain activity
Investors and analysts rely on active address data, which has lost its reliability. When the data is mixed with大量 non-authentic activity, metrics used to gauge the health of the Ethereum network become unreliable.
Signs of Genuine Activity Recovery Still Present
Despite data pollution, there are signs that activity on the Ethereum mainnet is genuinely recovering. This mainly stems from:
Transaction fees decreasing in January, reducing user interaction costs
This has attracted some users back to the mainnet
Compared to Layer 2 solutions, which have lower fees, the depth and security of the mainnet ecosystem remain attractive
However, the problem is that we cannot accurately distinguish between genuine user re-engagement and fake activity created by poisoning attacks.
Additional Market Context
From related market data, Ethereum currently faces ongoing pressure:
ETH price at $2934.90, down 1.72% in 24 hours, down 11.37% over 7 days
In the past 24 hours, CEXs experienced a net outflow of 38,600 ETH, indicating continued withdrawal sentiment
This contrasts with the “prosperity” suggested by active address data, reflecting a more cautious market sentiment based on fundamentals
Summary
The rebound in Ethereum mainnet activity is real, but the current active address data contains significant distortions. The rise of address poisoning attacks reminds us that on-chain data analysis requires more cautious interpretation—数字增长 alone does not equate to network health. Genuine activity recovery should be validated through multiple dimensions, such as actual transaction volume, Gas consumption, and independent active user metrics, rather than relying solely on potentially polluted address counts. For investors, this serves as a reminder: when evaluating on-chain projects and network conditions, beware of data traps and seek more robust, hard-to-fake indicators.
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The truth behind Ethereum's activity surpassing L2: Address poisoning attacks are polluting on-chain data
Ethereum mainnet activity data for January looks good, with daily active addresses approaching 1 million at one point, even briefly reaching 1.3 million on January 16th, surpassing several Layer 2 networks. However, behind this impressive data, there is an uncomfortable truth: a large amount of fake activity is infiltrating the metrics.
“False Prosperity” in Activity Data
According to Token Terminal statistics, Ethereum’s daily active addresses did see a noticeable rebound in January. But security researcher Andrey Sergeenkov points out that the authenticity of this data warrants skepticism.
This fluctuation is not entirely due to genuine on-chain activity growth but is highly related to address poisoning and similar attacks.
Address Poisoning Attacks: A New On-Chain Threat
Address poisoning is a relatively new attack method that appears simple in principle but has significant effects:
Dual Impact on On-Chain Data
This type of attack directly impacts Ethereum data analysis:
Active address count is overestimated
While the number of addresses seems to be increasing, many are “activated” merely because they received poisoning transfers. These addresses haven’t engaged in genuine on-chain interactions; they are passive victims of attacks.
Difficulty in accurately assessing on-chain activity
Investors and analysts rely on active address data, which has lost its reliability. When the data is mixed with大量 non-authentic activity, metrics used to gauge the health of the Ethereum network become unreliable.
Signs of Genuine Activity Recovery Still Present
Despite data pollution, there are signs that activity on the Ethereum mainnet is genuinely recovering. This mainly stems from:
However, the problem is that we cannot accurately distinguish between genuine user re-engagement and fake activity created by poisoning attacks.
Additional Market Context
From related market data, Ethereum currently faces ongoing pressure:
Summary
The rebound in Ethereum mainnet activity is real, but the current active address data contains significant distortions. The rise of address poisoning attacks reminds us that on-chain data analysis requires more cautious interpretation—数字增长 alone does not equate to network health. Genuine activity recovery should be validated through multiple dimensions, such as actual transaction volume, Gas consumption, and independent active user metrics, rather than relying solely on potentially polluted address counts. For investors, this serves as a reminder: when evaluating on-chain projects and network conditions, beware of data traps and seek more robust, hard-to-fake indicators.