Sensitive Data Exfiltration
ID |
sensitive_data_exfiltration |
Severity |
critical |
Resource |
Sensitive Data |
Tags |
spyware |
Rationale
Here’s how sensitive data exfiltration can affect security:
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Data Exposure: Malware may exfiltrate sensitive data such as personally identifiable information (PII), financial records, healthcare data, intellectual property, or login credentials. The exposure of this information can lead to serious privacy breaches and legal consequences.
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Identity Theft: Exfiltration of PII, including names, addresses, Social Security numbers, or credit card details, provides attackers with the means to engage in identity theft. Stolen information may be used for financial fraud, creating fake identities, or conducting other malicious activities.
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Financial Loss: If financial data, such as banking credentials or credit card information, is exfiltrated, it can lead to unauthorized transactions, fund transfers, or fraudulent activities, resulting in financial loss for individuals or organizations.
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Reputation Damage: Data breaches involving sensitive information can severely damage the reputation of individuals or organizations. Loss of trust from customers, partners, and stakeholders can have long-lasting consequences.
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Regulatory Compliance Violations: Exfiltrating sensitive data often leads to violations of data protection regulations. Organizations may face legal consequences, fines, or other sanctions for failing to protect sensitive information in accordance with applicable laws.
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Ransomware Targeting: Malware that exfiltrates sensitive data may be part of a larger ransomware attack strategy. Attackers may threaten to expose or sell the data unless a ransom is paid, adding another layer of extortion to the attack.
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Intellectual Property Theft: If the malware targets intellectual property, such as trade secrets, proprietary algorithms, or product designs, it can result in the theft of valuable assets and compromise a company’s competitive edge.
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Authentication Bypass: Exfiltration of login credentials allows attackers to gain unauthorized access to systems, applications, or networks. This can lead to further compromise, data manipulation, or the installation of additional malware.
Related Malware campaigns
Pretty common among NPM and Pypi malicious packages campaigns. Most of the malicious packages in these environments performs sensitive data enumeration followed by its exfiltration.
Many of them just pursue collecting sensitive information to perform later attacks or for reselling it in the back market.
These are many popular variants using this technique:
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SolarWinds Supply Chain Attackis a supply chain incident attributed to the Russian state-sponsored hacking group APT29, also known as Cozy Bear. Exploiting a backdoor, the attackers gained entry to sensitive data, engaged in cyber espionage, and established a persistent presence within the targeted networks. -
CodeCov Supply Chain Attackemerged in April 2021, involving the compromise of Codecov’s Bash Uploader script. This unauthorized access allowed attackers to obtain sensitive information within customer environments. -
Lokibotis a widely disseminated information-stealing tool initially documented in 2015. Engineered to extract sensitive data like usernames, passwords, cryptocurrency wallets, and other credentials, Lokibot can also create a backdoor in infected systems, enabling attackers to install additional payloads. -
QakBotstands out as a modular banking trojan primarily employed by financially motivated actors since at least 2007. Continuously updated, it has transformed from an information stealer into a delivery mechanism for ransomware. -
Uroburosrepresents a sophisticated cyber espionage tool written in C, utilized by units within Russia’s Federal Security Service (FSB) linked to the Turla toolset. Designed to collect intelligence on sensitive targets globally, Uroburos can infect Windows, Linux, and macOS systems, demonstrating a high level of stealth in communications and architecture, with the ability to seamlessly incorporate new or replacement components. -
Volt Typhoonhas been operational since at least 2021, focusing on espionage and information gathering activities.
Configuration
The detector has the following configurable parameters:
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sources, that indicates the source kinds to check. Available values are:-
sensitive_data
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sensitive_system_info
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registry_input
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sinks, that indicates the sink to check. Available values are:-
sensitive_data
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neutralizations, that indicates the neutralization kinds to check. By default, this is empty. No neutralizers are considered for potential malicious code. -
downgrade_min_declared_fields, how many of the package’s own metadata fields must name a domain before a flow to that domain is reported one severity lower. Default2. Set to0to switch the downgrade off. -
downgrade_provider_steps, how many severity levels a destination on a listed first-party service drops. Default2. Set to0to leave provider destinations alone. -
downgrade_confusion_detectors, the detectors whose findings void the package’s self-description. While any of them has reported, no destination is downgraded. Defaulttyposquatting,self_name_beacon.
Destination provenance
A package that sends data to its own backend produces the same flow as one that sends it to a collector; only the destination differs. When the destination’s registrable domain (its eTLD+1) is one the package declares as its own — in its homepage, repository, issue tracker or author address — the finding is reported one severity lower and carries the reason.
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oauth-token-exchange— the request carriesgrant_typeand goes to a listed token endpoint, which is a client renewing its own credentials (RFC 6749 §4). The field is the discriminator, not the host: a stolen refresh token would be replayed at the very same endpoint, and an exfiltrator has no reason to sendgrant_type.
A credential whose name belongs to a different listed provider than the destination keeps full severity, whatever the host: shipping one vendor’s key to another vendor is key siphoning with the destination as cover. A name no provider claims says nothing about ownership and does not block the downgrade.
The finding is never removed. It still names where the data went, and the severity it lost is recorded on it:
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DOWNGRADE_REASON—own-declared-domain -
DECLARED_DOMAIN— the domain the decision was taken against -
DECLARED_DOMAIN_FIELDS— the metadata fields that named it
Because package metadata is written by whoever published the package, the downgrade is gated. It does not apply when the domain is named by fewer than downgrade_min_declared_fields independent fields; when the registry recorded the declared repository as not served; when a typosquatting or dependency-confusion finding is present; or when the flow is inside a file an installation script executes. Matching is on the exact registrable domain, so api.example.com.attacker.net never answers to a declared example.com.