A Method for Decrypting Data Infected with Rhysida Ransomware
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866913229702168576 |
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| author | Kim, Giyoon Kang, Soojin Baek, Seungjun Kim, Kimoon Kim, Jongsung |
| author_facet | Kim, Giyoon Kang, Soojin Baek, Seungjun Kim, Kimoon Kim, Jongsung |
| contents | Ransomware is malicious software that is a prominent global cybersecurity threat. Typically, ransomware encrypts data on a system, rendering the victim unable to decrypt it without the attacker's private key. Subsequently, victims often pay a substantial ransom to recover their data, yet some may still incur damage or loss. This study examines Rhysida ransomware, which caused significant damage in the second half of 2023, and proposes a decryption method. Rhysida ransomware employed a secure random number generator to generate the encryption key and subsequently encrypt the data. However, an implementation vulnerability existed that enabled us to regenerate the internal state of the random number generator at the time of infection. We successfully decrypted the data using the regenerated random number generator. To the best of our knowledge, this is the first successful decryption of Rhysida ransomware. We aspire for our work to contribute to mitigating the damage inflicted by the Rhysida ransomware. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_06440 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A Method for Decrypting Data Infected with Rhysida Ransomware Kim, Giyoon Kang, Soojin Baek, Seungjun Kim, Kimoon Kim, Jongsung Cryptography and Security Ransomware is malicious software that is a prominent global cybersecurity threat. Typically, ransomware encrypts data on a system, rendering the victim unable to decrypt it without the attacker's private key. Subsequently, victims often pay a substantial ransom to recover their data, yet some may still incur damage or loss. This study examines Rhysida ransomware, which caused significant damage in the second half of 2023, and proposes a decryption method. Rhysida ransomware employed a secure random number generator to generate the encryption key and subsequently encrypt the data. However, an implementation vulnerability existed that enabled us to regenerate the internal state of the random number generator at the time of infection. We successfully decrypted the data using the regenerated random number generator. To the best of our knowledge, this is the first successful decryption of Rhysida ransomware. We aspire for our work to contribute to mitigating the damage inflicted by the Rhysida ransomware. |
| title | A Method for Decrypting Data Infected with Rhysida Ransomware |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2402.06440 |