Banks Hacked With Open-Source Software
Cyber security researchers at Checkmarx in the first half of 2023 discovered that an open-source software supply chain campaign is targeting the banking industry.
Two banks have been targeted by open-source software supply chain attacks in recent months in what researchers are calling the first such incidents of their kind.
“These attacks showcased advanced techniques, including targeting specific components in web assets of the victim bank by attaching malicious functionalities to it,” says Checkmarx.
"Over the past four and a half years, the Russian-speaking group Red Curl has carried out at least 34 attacks on companies from the UK, Germany, Canada, Norway, Ukraine, and Australia".
The Hackers have created fake social media accounts to establish apparent validity alongside malicious software uploads.
In the first attack, the hackers uploaded malicious npm packages to the registry and posed as a bank employee.
The attackers created fake LinkedIn profiles to get in touch with the victims’ employees and used for each target a specific C2. The experts noticed that the contributor behind the malicious packages was linked to a LinkedIn profile page of an individual that was posing as an employee of the victim.
If the npm package was launched, the script determined the operating system type and downloaded a second-stage malware package via Azure’s CDN subdomains. The second-stage payload included the open-source command-and-control (C2) framework Havoc.
More attacks from the hacker have employed a similar strategy, where a malicious npm package would lay dormant until activated.
The other attack that Checkmarx reported on recently happened in February. Here too, the threat actor, completely separate from the attacker in May, uploaded their own package containing a malicious payload to npm.
In this instance, the payload was engineered specifically for the targeted bank. It was designed to hook onto a specific login form element on the bank's website and to capture and transmit information that users entered into the form when logging into the site.
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