What podcasts say about Alex Shevchenko
Every statement, with the speaker, the exact quote and the moment it was said.
What Alex Shevchenko has said on podcasts
33 statements · 16 positive · 14 negative · 3 neutral
Audits failed to detect the exploit sequence.
“This was audited multiple times. Unfortunately, our auditing companies were not able to discover this mode of operations and this sequence of the actions that was leading to the exploitation of this bug.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 2:24
Near Intents leads cross-chain swapping with approximately 50% volume share.
“at the moment, we are the leader of the cross-chain market swapping. And we are serving approximately 50% of the swapping volume.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 4:20
The exploit created false deposit records without actual asset deposits.
“Infrastructure was tricked, believing that he did deposit the assets. So it created the record on the near side in the smart contracts that this user has these assets. While in fact, these assets were not deposited.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 5:30
Near Intents reacted to the exploit in approximately 40 minutes.
“The reaction time was around 40 minutes on this stuff.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 7:38
Near Intents processes approximately $200 million daily at one-to-three transactions per second.
“Through Near Intense, we usually have approximately $200 million going through approximately one to three transactions per second every single day.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 7:44
Near Intents accepted responsibility because the protocol contained a bug.
“we definitely saw that there is a bug in the protocol, which means that this is our fault.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 9:07
Near Intents had sufficient funds to cover the exploit loss.
“we do have money to cover this loss.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 9:19
The investigation linked exploitation accounts to a person or closely associated group.
“We were able to find the very hard and very convincing evidences that are linking the exploitation accounts with a particular person or potentially with a group of people that are extremely close to this person.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 12:58
A previous exploit’s stolen funds were fully returned after similar investigative actions.
“all of the money were returned back the same way how here.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 15:25
The investigation prioritized recovering funds over proving the operator’s identity.
“it is not needed. That is not the goal. The goal is to return the funds.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 16:57
Near Intents replenished affected smart-contract funds from its own resources.
“from our own pockets, we were able to replenish the funds inside of the smart contracts already.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 22:24
Hackers face a high probability of being traced when qualified counterparties investigate.
“there is extremely high chance that you're going to be traced.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 24:13
Hackers may be tracked and imprisoned under less lenient recovery approaches.
“If people have a different philosophy of how to handle the situations rather than us, there is a high chance that you're going to be tracked up until the point in time that you're going to go to jail.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 24:20
Vulnerability researchers should use bug bounties instead of disrupting services.
“please please use backbounties do good stuff instead of disrupting the service.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 25:58
AI-assisted hacks increased beginning in March.
“We have seen that there is an uptick of the AI-assisted hacks that started to happen in March this year.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 28:19
Attackers began using AI systems to assist with hacks.
“Attackers started to use them to assist in these hacks.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 28:31
Shield reduced Near Intents’ Litecoin incident losses by 80%.
“And it decreased our losses within that incident by 80%.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 29:24
Near Intents Shield detects suspicious activity and blockchain operational deviations.
“this is kind of like our internal oracle, if you wish. That answers us the question, is there something sketchy happening here?”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 29:36
Shield detected over $50 million linked to the BitGet hack entering Near Intents.
“We detected more than 50 million US dollars who were trying to path through near intents that are connected with this hack.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 30:13
Shield locked approximately $500,000 during transaction execution.
“Approximately 500,000 US dollars were locked amid execution with this system.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 30:32
Only $166,000 linked to the BitGet hack passed through Near Intents.
“And through the near intents, it was only $166,000 which passed.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 30:45
Shield kept approximately 99% of linked BitGet funds outside Near Intents.
“99% was kept outside of the protocol.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 30:56
Near Intents is decentralized.
“The answer about whether NeuroIntense is decentralized or centralized, the answer is that it is decentralized.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 33:42
No single party can stop Near Intents execution.
“There is no single party that is able to stop execution.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 33:47
Shield blocks funds associated with clearly illicit activities and hacks.
“the SHIELD system at the moment is blocking things that are like 100% bad. You know, child pornography, finance and terrorism and stolen and hacked funds”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 35:21
Unbounded crypto systems would undermine crypto’s future value.
“if we're building these type of systems, Without boundaries, it means that we are building towards the future where crypto doesn't have any value.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 37:05
Crypto systems should do everything possible to block illicit funds.
“there are black money and there are white money and we need to do everything that is possible in order to block black money”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 39:43
Metadata analysis can identify some links between hacked and legitimate shielded Zcash tokens.
“With Shielded Zcash, there are ways how to determine whether there is a connection in between the tokens that are connected with the hack and which are not.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 40:36
Privacy protocols will attract illicit actors and face regulatory pressure at entry and exit points.
“my expectation that over time through these protocols, they're going to attract illicit actors and the regulators will not be in the position to kind of look inside of this. And they're going to try to choke these protocols on the boundaries, on the entrances and exits.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 41:12
Monero trades on only a small number of exchanges, excluding major exchanges.
“Monero is tradable only on a handful of exchanges. No big exchanges trade in Monero.”
Open the episode · How NEAR Intents Identified a Suspect and Got Its Stolen Funds BackListen at 41:32
Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.