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OSINT - Spam via mobile phone

Low
Published: Tue Jan 07 2020 (01/07/2020, 00:00:00 UTC)
Source: CIRCL
Vendor/Project: circl
Product: incident-classification

Description

OSINT - Spam via mobile phone

AI-Powered Analysis

AILast updated: 07/02/2025, 09:11:38 UTC

Technical Analysis

The provided information describes a security threat categorized as "OSINT - Spam via mobile phone," identified by CIRCL and tagged as a scam involving vishing (voice phishing). Vishing is a social engineering attack where attackers use phone calls or voice messages to deceive victims into divulging sensitive information or performing actions that compromise security. This threat is characterized by unsolicited spam communications delivered via mobile phones, potentially aiming to defraud individuals or organizations by impersonating trusted entities or exploiting financial fraud schemes. The threat is classified with low severity and a threat level of 3 (on an unspecified scale), with an analysis confidence of 2 and a certainty of 50%, indicating moderate confidence in the threat's existence and impact. There are no specific affected versions, no known exploits in the wild, and no technical details about vulnerabilities or attack vectors beyond the general description of spam and vishing. The threat is perpetual, meaning it is ongoing and persistent in nature, typical of social engineering campaigns that continuously adapt to evade detection. The lack of technical exploit details suggests this is primarily a social engineering and fraud risk rather than a software vulnerability or malware-based threat.

Potential Impact

For European organizations, the impact of spam via mobile phone and vishing scams can be significant despite the low technical severity. These attacks can lead to financial fraud, unauthorized access to sensitive information, and reputational damage. Employees or customers may be tricked into revealing credentials, authorizing fraudulent transactions, or installing malicious applications. The human factor makes detection and prevention challenging, and successful attacks can result in direct financial losses or indirect costs such as incident response, legal liabilities, and erosion of trust. Organizations in sectors with high customer interaction, such as banking, telecommunications, and public services, are particularly vulnerable. Additionally, regulatory frameworks like GDPR impose strict requirements on data protection, and breaches resulting from social engineering can lead to substantial fines and compliance issues.

Mitigation Recommendations

Mitigation should focus on enhancing awareness and resilience against social engineering attacks. Specific recommendations include: 1) Conduct regular, targeted training programs for employees and customers to recognize vishing and spam tactics, emphasizing skepticism towards unsolicited calls requesting sensitive information or financial transactions. 2) Implement multi-factor authentication (MFA) for sensitive systems and transactions to reduce the risk of credential compromise through social engineering. 3) Establish clear communication protocols that verify the identity of callers and require secondary confirmation for financial or sensitive operations. 4) Deploy mobile security solutions that can filter and block known spam and scam calls, leveraging carrier and third-party services specialized in spam detection. 5) Monitor and analyze call logs and incident reports to identify patterns indicative of ongoing vishing campaigns. 6) Collaborate with telecom providers and law enforcement to report and mitigate large-scale spam and vishing operations. 7) Ensure incident response plans include procedures for handling social engineering incidents and potential fraud.

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Technical Details

Threat Level
3
Analysis
2
Original Timestamp
1578407416

Threat ID: 682acdbebbaf20d303f0c0a4

Added to database: 5/19/2025, 6:20:46 AM

Last enriched: 7/2/2025, 9:11:38 AM

Last updated: 7/31/2025, 1:04:08 AM

Views: 7

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