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NuGet malware targets Nethereum tools

Highlighting an alarming trend, RL has discovered malicious packages targeting crypto wallets and OAuth tokens to steal funds.

Malicious NuGet

This year, ReversingLabs (RL) researchers have discovered malware on various open-source software (OSS) platforms that target crypto users and developers. This is an attack trend RL saw explode in 2024, and it has continued in 2025 with crypto among threat actors favored prey. 

This past year alone, RL researchers have identified crypto-focused malware on:

  • The Python Package Index (PyPI), where developers in the Solana ecosystem were targeted 
  • npm, where threat actors attempted to steal crypto funds by injecting code into local, legitimate packages 
  • VS Code, where a malicious pull request infected a legit extension that was used for Ethereum smart contract development. 

Despite these varied approaches on several different OSS platforms, NuGet, the OSS platform for .NET, has been pretty quiet this year. That is until this past October, when RL made a new discovery targeting the crypto ecosystem via NuGet.

On October 17, RL published a post on X about a new malicious NuGet package, “Netherеum.All,” which impersonates Nethereum, a .NET integration library for the Ethereum decentralized blockchain. Since our initial discovery, RL has discerned that this package is a part of a broader campaign that started in July 2025, which includes 14 packages — all published over the span of several months by various authors. 

All of the packages impersonate legitimate crypto-related tools and copy their functionality, but are enriched with malicious functionality intended to steal crypto funds from victims. For example, some of the packages are designed to redirect transaction funds to attacker-controlled wallets, while others are designed to exfiltrate secrets that can later be used to access victim wallets and extract funds from them. 

Malicious functionality is well hidden inside the code that attackers copied from legitimate packages, making analysis and detection of the malware more difficult. Threat actors also used several techniques to make the malicious packages look trustworthy, tricking unsuspecting users into a false sense of security.

NuGet summary of the malicious package

Image 1: NuGet summary of the malicious package

Some of the techniques used in this latest campaign were also used in a July 2024 attack on NuGet discovered by RL threat researcher Karlo Zanki. The most notable techniques previously used include:

  1. The use of homoglyphs: The package name uses a character that visually resembles a common letter or symbol. However,to a computer the character has an entirely different meaning. 
  2. Version bumping: Pushing dozens of new versions in a short period of time in order to create an illusion of package upkeep and reliability.
  3. Inflating download counts: Artificially raising the download count of a package to create the illusion of widespread package use and popularity. However, the metrics are unreal, with millions of downloads racking up just after the package has been published. 

These techniques, especially when used together for a single malicious package, give it the illusion of legitimacy, credibility and security that can convince developers that the package is safe to use. These social engineering efforts make NuGet users more susceptible to downloading innocuous-looking packages that actually exhibit malicious functionality.

Version bumping & inflating download counts

Image 2: Version bumping & inflating download counts

Image 2 shows a clearer view of how the version bumping a package works: In this latest campaign, the threat actor pushed multiple versions at the same time, and artificially inflated the download counts for most versions of the package. The latest version in Image 2 is the only one that actually has the true download count displayed.

The 14 malicious NuGet packages detected by RL can be split up into three groups based on the type of malicious payload each delivered to victims:

Author

Package Name

Group

AngelDev

SolnetPlus

GROUP ONE

DamienMcdougal

NBitcoin.Unified

GROUP ONE

DamienMcdougal

SolnetAll

N/A

jackfreemancodes

BitcoinCore

GROUP ONE

jackfreemancodes

SolanaNet

GROUP ONE

jackfreemancodes

GoogleAds.API

GROUP THREE

jackfreemancodes

Binance.Csharp

GROUP TWO

jackfreemancodes

BybitApi.Net

GROUP TWO

jackfreemancodes

Coinbase.Net.Api

GROUP TWO

LexDotNet

NethereumUnified

GROUP ONE

NethereumCsharp

NethereumNet

GROUP ONE

nethereumgroup

Netherеum.All

GROUP ONE

Solnet

SolnetUnified

GROUP ONE

YetiCorp

SolnetAll.Net

GROUP ONE

Group one: The wallet stealer

Nine packages in total, including the Netherеum.All package, used the same method to steal sensitive crypto data.

In contrast to the simpler malicious packages RL researchers see on a daily basis that try to steal as much data as quickly as possible, often executing harmful code immediately upon installation, this malware takes a more subtle approach. This latest set of malicious packages is designed to be used by developers and embedded into other applications, so most of its codebase appears completely legitimate. However, at few critical functions within the code, malicious code has been subtly injected.

By hiding the payload inside these key execution points, the malware activates only when those specific functions are called. This allows it to blend in, remain undetected, and strike at the perfect moment.

To exfiltrate sensitive data, a new function Shuffle was created (Image 3). The purpose of this function is really simple, in that it just takes an argument (a message) and sends it to a remote URL. In this case, the remote URL is not defined as clear-text – most likely to avoid detection. Instead, it is created on the fly by decrypting a char array using a XOR cipher. In all nine packages, the exfiltration URL is “hxxps://solananetworkinstance[.]info/api/gads,” which mentions Solana Networks, a network monitoring vendor – representing a domain confusion scenario.

Malicious method used to exfiltrate data

Image 3: Malicious method used to exfiltrate data

This function is then inserted into various routines at critical points, in order to exfiltrate different kinds of sensitive data, such as wallet addresses and their private keys, seed phrases, and Wallet Import Format (WIF) keys. With this information, the threat actors can gain full access to the victim’s wallet and freely move or drain their crypto assets.

Example of the malicious function, Shuffle, being used to exfiltrate private and public keys

Image 4: Example of the malicious function, Shuffle, being used to exfiltrate private and public keys

Group two: The crypto-funds stealer

The second group consists of three Nuget packages, one of them being Coinbase.Net.Api, which uses a similar trick to the prior group. Coinbase.Net.Api was published by the same author as some of the previously mentioned sensitive wallet info stealer packages. Again, a single malicious function is added to the code base and then wrapped into carefully chosen routines.

In this case, however, no sensitive data is being exfiltrated directly to a remote URL. Instead, the attacker created a function named MapAddress that contains a key-value pair of strings. The “key” being short-hand “cryptocurrency” and “value” being the wallet address of a given cryptocurrency ecosystem belonging to the attacker. The function receives a cryptocurrency ecosystem as a string, and it will respond with the corresponding wallet address — unless the ecosystem is not defined, in which case it will default to use the address that was passed to this function as an argument.

Attacker’s wallet addresses

Image 5: Attacker’s wallet addresses

How is this exploited?

As mentioned above, the attacker inserts the malicious function at a critical point in the SendMoneyAsync, a method that is responsible for sending cryptocurrency. They overwrite the destination wallet address with one of their own – essentially funneling any money from transactions higher than $100 to themselves. Stealing the funds in this way mitigates the risk of the attacker getting detected during lower amount transactions.

Usage of malicious function overwriting the transaction destination address

Image 6: Usage of malicious function overwriting the transaction's destination

Group three: The Google Ads OAuth stealer

The last package, GoogleAds.API, works nearly identically to the Netherеum.All package mentioned previously. However, instead of exfiltrating wallet data secrets, the malware focuses on Google Ads OAuth.

The malicious code quietly transmitted victims’ data to the attacker’s external server, such as developer tokens, OAuth Client IDs and Client secrets — all similar to the malicious packages described earlier. These values are highly sensitive, because they allow full programmatic access to a Google Ads account and, if leaked, attackers can impersonate the victim’s advertising client, read all campaign and performance data, create or modify ads, and even spend unlimited funds on malicious or fraudulent campaigns.

Google Oath exfiltrated by the SendLog function

Image 7: Google Oath exfiltrated by the SendLog function

Astute readers might have noticed that this blog initially called out the discovery of 14 malicious packages, yet this analysis only accounted for 13 of the packages. That’s because the last package, SolnetAll, was removed from NuGet before RL researchers could analyze it. However, it was published by the author DamienMcdougal, which is the same author that pushed NBitcoin.Unified, one of the 13 packages, which steals wallet information from users. Therefore, it’s not far fetched to assume that the removed SolnetAll package performs similarly.

What’s the impact?

Crypto assets are one of the most popular targets observed in OSS supply chain attacks. The popularity of this target is a given, since the obvious motivation for attackers in these scenarios is financial gain. 

While the Nuget campaign we discovered primarily targeted developers, its reach could have extended much further. That’s because developers who unknowingly installed and used any of the 14 malicious packages as part of new applications may have, without realizing it, passed the infection downstream to their own user base. This means that the threat wasn’t just limited to individual developers losing sensitive data and their crypto funds. Rather, the malicious actors behind these Nuget packages could have affected entire projects, organizations and communities that relied on applications that incorporated the malicious code– putting them and their cryptocurrency assets at risk.

This latest campaign is yet another reminder that a single compromised dependency can quickly propagate through the software supply chain — embedding malicious functionality in otherwise legitimate products.

The weakest link remains trust

Once again, this latest malicious campaign on NuGet should serve as a reminder that malicious actors continue to exploit the weakest link in the supply chain: trust. What appears to be a small and harmless dependency can in reality act as a silent backdoor, as was the case for this latest set of malicious packages.

This latest campaign follows the same patterns as we’ve seen across PyPI, npm and VS Code, showing that no OSS repository is immune to these threats, regardless of how big they are or what kinds of users they serve. Prior to this, however, the Nuget platform had seen a big drop in malicious package detections, from 34 last year to just two in the first 10 months of 2025. That may reflect stronger security features, such as mandatory two factor authentication for all maintainer accounts, which Nuget implemented in July, 2024. 

The attackers behind this latest set of packages utilized social engineering tactics, such as the artificial inflation of download counts, version bumping and manipulated package names in order to appear legitimate. 

Developers should always double check the legitimacy of OSS packages before installing them, and not simply scan a package’s stats. For example, developers should: 

  1. Take a close look at the package’s publish date: When was it posted? Could it be possible that a new package gathered that many downloads since the time it was released?
  2. Inspect the author: Is it a known publisher, or a new account with no other packages? Or, do the author’s other packages bear similar suspicious contents?
  3. Review the package for suspicious content: Look for obfuscated code or unexplained connections with external servers. 

Stop NuGet threats with Spectra Assure Community

To help developers avoid threats like those uncovered in this campaign, Spectra Assure Community (secure.software) offers NuGet users quick and easy-to-understand insights into packages.

Malware detection on Spectra Assure Community

Image 8: Malware detection on Spectra Assure Community

In addition to analyst-vetted research, users can review automatically surfaced issues for any package they’re considering – helping them determine whether it’s trustworthy before installation.

RL’s triggered Threat Hunting (TH) policies further highlight suspicious behaviors within packages. For example, a TH policy such as “Detected presence of files with behaviors that match the infostealer malware profile” (TH15108) acts as an immediate red flag. When alerts like these appear, developers are strongly encouraged to avoid the package and perform thorough manual review before integrating it into their projects.

Threat Hunting policies on Spectra Assure Community

Image 9: Threat Hunting policies on Spectra Assure Community

Indicators of Compromise (IOCs) 

Indicators of Compromise (IoCs) refer to forensic artifacts or evidence related to a security breach or unauthorized activity on a computer network or system. IOCs play a crucial role in cybersecurity investigations and cyber incident response efforts, helping analysts and cybersecurity professionals identify and detect potential security incidents.
The following IOCs were collected as part of ReversingLabs investigation of this software supply chain campaign. 

NuGet packages:

package_name

version

SHA1

binance.csharp

1.1.35

d37d28a7dad9fab49b701ae734070cebcd2a2cb8

binance.csharp

1.56.10

e9f602c7d6fd21b1a3e8d717a909f1419e778ab5

binance.csharp

1.56.11

994a072c85febd71f65ca470b0fbf6fafce64b38

binance.csharp

1.56.12

ef5f6cf6c7869ee6f2cb46430e0e9e9dc0a60376

binance.csharp

1.56.13

130b16b10b1e6a5e235097630f9b8fa2251fb7ce

binance.csharp

1.56.14

99a80f47cf5439877088c23b061331ddac8f346f

binance.csharp

1.56.15

457136952da8784d6c4cede431d816d99b60c327

binance.csharp

1.56.16

86b1d3712644631b1b363e74a393816646232816

binance.csharp

1.56.17

ae33843dfe79475f3f58374a16eec7b175392d3b

binance.csharp

1.56.18

edbabb8d170d795ed9b7452e4f895e3d658f1868

binance.csharp

1.56.19

0b267bc5cbba9a96b3c7ecf56222776fccf8d13e

binance.csharp

1.56.20

667422e49dd772521d98afdb5e3d1b28932ef92e

binance.csharp

1.56.21

19774417312a7204716176d86101a53e1ec7de83

binance.csharp

1.56.22

746cfd19100f7c33e3c459d68fa98849bfb4774c

binance.csharp

1.56.23

5558c729ce1d1b0a9b7d9567bfc825686d4d13cc

binance.csharp

1.56.24

1c0d4ecd29ea197b41cd65409b89d9b8620812fe

binance.csharp

1.56.25

1128c17ebe42617d75277987b384a6a15f1d7000

binance.csharp

1.56.26

9fe95bc153e64854c8c3c11ff406f8df1db5b00c

binance.csharp

1.56.27

bd2d6aa6ed5f3e394ea651693b6b9c28058ab370

binance.csharp

1.56.28

916a5f26c3ae694620dd69c3d9c807907982aaf4

binance.csharp

1.56.29

82f96da4cf96d076848e7358f6dd24c089bbf5e2

binance.csharp

1.56.30

6a482d405135104991292e75b1c1483463a3fc64

binance.csharp

1.56.31

1f6dbf2a29e85ee6b31d57004125d42b73e079b5

binance.csharp

1.56.32

6aa4a534ced10e137992ff514fbdccc590032899

binance.csharp

1.56.33

08aeac51c5af03a3dd769d339fb8a4b08729a4de

binance.csharp

1.56.34

53d099e308b65232f2a878730ce01af9b85ea08c

binance.csharp

1.56.35

ec49820ad8ac06a60300ac77a0d0d444f2e07269

binance.csharp

1.56.36

f48be90c73ddb5a0e273d4012ae20350495314ab

binance.csharp

1.56.37

caefe957befb93e0d20e9d1b4a114c574321be89

binance.csharp

1.56.38

916ad2a01cef76047ef622e7701f79c671710202

binance.csharp

1.56.39

a845202d5040185974d1a986eb42380d4c1662f6

binance.csharp

1.56.40

10206b3d71e972a415c26d8275080a2b1d91554d

binance.csharp

1.56.41

1c9bd2aed6739155d256981990cfa814ce0f77b6

binance.csharp

1.56.42

dc4a4579cf784be3bba98a1ab2dd08d0c00a4cb1

binance.csharp

1.56.43

716142789814a181bd0b207e36255c0eacae3918

binance.csharp

1.56.44

1cf71a5de91d7a90673b389a15cffdfb3915682d

binance.csharp

1.56.45

f81607d4db058c20c5441f8a11b56c5190feae89

binance.csharp

1.56.46

f235cb9abde5e88fa647f4b41370c84e56ce3099

binance.csharp

1.56.47

ce9d108c0d0bf5a75c965b4cb04cb38b786108d4

binance.csharp

1.56.7

bae1bf585ed8abd948f7b2a0f337da4d1a31b5e5

binance.csharp

1.56.8

ce8060e2401ca49e9445122f57b467c07b8e4686

binance.csharp

1.56.9

f92a7fa4650d13b86693f32631ef4b6108f00125

binance.csharp

4.1.35

9d3d7573979e22fb11da05db3ec004b18aae08d5

bitcoincore

0.0.13

9a084686fb5dd62aefd59a9c8bddb07e8eb6fbe9

bitcoincore

0.0.18

b314482e6346be36a4fae3a965dc4d21be5af020

bitcoincore

0.0.22

169539b741d054a01e91707d8ac0008474785b58

bitcoincore

0.0.4

e0b041f5ce0e4458782734dba455cc7c22927cbf

bitcoincore

0.0.9

c6249d3c4ea9dfbef0156c4dcf3999b0274ef270

bitcoincore

1.0.24

b269c1d6c4e2aea61ee7d8358e2f1a2408adf7df

bitcoincore

1.0.25

ed3525c36d61601a36e6f5908f1103ed397f111e

bybitapi.net

0.0.7

b146df7b3b0b162e2d5e4aa9cdffce21c854b541

bybitapi.net

1.24.5

953491446afeb169c0247c3afe9df83ff1c3c860

bybitapi.net

1.24.6

b7fa31a6da1c95e599ce3078404b3efa4668a6bb

bybitapi.net

1.24.7

34da48fa43e4325ed448f47bd4570079b320dd22

bybitapi.net

1.24.8

f9e34ab400bac027b10d1262966e66fbdea7751b

coinbase.net.api

0.0.2

e1627ed04f36c396f8d3a80ba2211429934b1e49

coinbase.net.api

0.0.3

7e55a5e24829ab196ff26f6d8ee40d2c9ff45343

coinbase.net.api

0.0.4

a3e7690e1af94641351aab1e2203674dcd5c768a

coinbase.net.api

0.0.5

310cdb353ba2dda94989f65b20de4f67e0cff93a

coinbase.net.api

0.0.6

232f619a8444cd8b484ece901accb45a6be2df1e

coinbase.net.api

0.0.7

746620fd7a2e95935afbe299ded82fd88c108ca7

coinbase.net.api

0.0.8

37b17099788e0b5b3f7b5c4a9175c271f43bc1f2

coinbase.net.api

0.0.9

f1936d99858a7facd6ee922073479a606844522b

coinbase.net.api

1.0.1

6911ebd9335115c217ad996c66d3cf283b03503d

coinbase.net.api

1.0.2

9891b0fae7769adbe3fb986748d5dc84202169cc

coinbase.net.api

1.0.3

5f52ae106239e4f38ba278f575216736a3541ae0

coinbase.net.api

1.0.4

5882be86bda0108432d74f8b00364ef57bf7864f

coinbase.net.api

1.0.5

6e6416fe7df1febc384301d1e57d6d6d0fe419a5

googleads.api

0.0.1

c70c8fec3387e5f32a798c0f697ce72df45b2b0c

googleads.api

0.0.10

fc6587c6b75c5a0ca4cf9ebd6ee1c01ac13ebb6b

googleads.api

0.0.11

be8590abce6219aa6581df3d9411ecbbaa73e692

googleads.api

0.0.12

cf7c56e73b9dd670b500ae5d50f6d37a633794d1

googleads.api

0.0.13

b179f7979143d2ce07f3837099fd2940506d4f12

googleads.api

0.0.14

52b078c85b5a76d8f97feb3701d9d6ff0de4e284

googleads.api

0.0.15

ad14acc3862e0ef5a096d6f744358131a8be0fae

googleads.api

0.0.16

71f5b45a7ea86737fd83e7af3edc549244e1143a

googleads.api

0.0.17

d933d97e6725132ac717da4d21e3043d6406c8a8

googleads.api

0.0.18

2a32919bffc04b3c4c124b8383f5eedad457c4d5

googleads.api

0.0.19

a6a0452dded3a963fa403fc5ade9a89acf92bb74

googleads.api

0.0.2

7e01e044c480c7e3647be88da1b8741e3304a561

googleads.api

0.0.20

8b1a06de6635be56009d8eec236bdad18734f9ab

googleads.api

0.0.21

8a2ac011763b06aaf566d23892391e563bda7c36

googleads.api

0.0.22

3654ff5509d494b29f418b042c7c8a02fe46a127

googleads.api

0.0.23

aa7f08a8def57c9adfa04174d0730139303fb9a1

googleads.api

0.0.24

10e6d3c4bc327409b7f2af76be4153dbe470e0af

googleads.api

0.0.25

b730bd077801f57a7e827ea00ec7fd964dfbaf7b

googleads.api

0.0.26

cdb2b23a7cfe9b8776e757d67f094bbfebc02de3

googleads.api

0.0.27

c53b91501151fa4bb820456b5ea1253cffb5070a

googleads.api

0.0.28

c789b6cc93f298cf7cce2975b53a970c9c5ee3bf

googleads.api

0.0.29

53997fafbe623aa5bda1ea56db224c8d8827d860

googleads.api

0.0.3

9bef50f330c4f6bbd62897b320847418688afe10

googleads.api

0.0.30

92bc8caa5a736faaa9a576763cd8fa04ce627702

googleads.api

0.0.31

cceca9475b29b0afe273fe1e00332e7d3ec52552

googleads.api

0.0.32

d9357152d648bcd9f83c4bd66e22187437f19d3a

googleads.api

0.0.33

ae908e3dab4a228b03b2e32156ace35e7bad79ce

googleads.api

0.0.34

476411c66c27227574a51466d44a05d14c5cf647

googleads.api

0.0.35

4697e60cc77722eb3e7567899fb4a6d56db2487d

googleads.api

0.0.36

32876e3127fbbd329ba10ff2e2844aa8d5205b29

googleads.api

0.0.37

20c146f2205a96925b14f18059aca1ff38d5dcb8

googleads.api

0.0.38

5469b29c9848b785d9f993973f0fc59dff993dcd

googleads.api

0.0.39

e0fe2ab98dfad287feb9b08adfcf7ea6632e7c76

googleads.api

0.0.4

5853de4cfbbbf9313d0c07ed5f54d00acc57cec8

googleads.api

0.0.40

f15759160ee919a9f41c6adc7f68937fe8fa879f

googleads.api

0.0.5

ba79071ba7628916b4ced6ccb93d7fba82272f9a

googleads.api

0.0.6

03ff8f5352e42dbb0f2e60ae9bc36b27c35860b3

googleads.api

0.0.7

a16281e36ac1376268f90f8c9656dcafb02f418b

googleads.api

0.0.8

7ce96efdf37c1b98b7f801363dd4c639a46663a2

googleads.api

0.0.9

ab6557c3b350facfef4abbd351365368e38017c5

googleads.api

2.45.7

f80239f9376dfe08c35756910caadd49eaeae300

googleads.api

2.45.8

e8bb49debb66c90f3c82e1e2102b423889eb4560

googleads.api

2.45.9

05a29102d2769834b87cf8505cf64fb910625d1e

nbitcoin.unified

0.0.100

575dc8c4e7fb9deb3826f546c442c0c96364a0d7

nbitcoin.unified

0.0.114

f3cbf93b861770bf88cbfb21018adaf89b853c47

nbitcoin.unified

0.0.137

4083896f0c74c87b8e951880b40b98edd0829abc

nbitcoin.unified

0.0.149

64b83f8346be100e472a1a98f96c5285a6781396

nbitcoin.unified

0.0.25

d11e9df40727d3ae453309c681654f07701a44e1

nbitcoin.unified

0.0.31

6933371ae2bf4cf4fa5af8fb22b8d7a5afdf1334

nbitcoin.unified

0.0.46

8c69d88224b6b7a1e3069ad44e07dcf6c1fc9696

nbitcoin.unified

0.0.70

cdcfd4f8dfd5b815eed2b328899d1e55d8d6582d

nbitcoin.unified

0.0.95

527d443f1049fe6f23f406463b51f125816ae1c7

nbitcoin.unified

1.2.6

1a8549071a86de50bb78f51ed3e5ebfcd4c3942b

nbitcoin.unified

1.2.7

86819f74f2c0c97a69266cb0a17c63bb31b9651a

nethereumnet

0.0.11

3c094cd90d2f83b1c4e3f0a391ef0871d2ffaf95

nethereumnet

0.0.19

ad5869daa3a63889f953158f84e0f1a99de2c516

nethereumnet

0.0.55

b96561eacb62a8d1b34d2b4fc037b00b04bb0c4f

nethereumnet

0.0.60

1a9493f509371d9dc1056958337d7b74798f5661

nethereumnet

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