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These days, the weakest link in any security system isn't the code, but the person. Even the most sophisticated multi-factor authentication will be useless if the user reveals the code to the scammer. In this article, we'll examine the mechanisms of social engineering, analyze real-life attacks, and develop a defense strategy based not on fear, but on an understanding of how attackers operate.
Artificial intelligence will allow scammers to:
This means that old security methods (lists of "good" questions) will become completely obsolete. The only reliable protection will be hardware authentication methods and an absolute zero-trust threshold.
Part 1. Social Engineering and Vishing: The Psychology of Telephone Scams
Social engineering is a method of mind control in which fraudsters exploit human weaknesses and emotions to coerce victims into voluntarily revealing confidential information. According to BI.Zone AntiFraud, the number of fraudulent schemes using social engineering methods is steadily increasing, with fraudsters increasingly relying on users' trust in reputable sources. A variant of this method, "vishing" (voice phishing), relies on phone calls where froders employ social engineering tactics via voice communication to deceive victims. The primary method is to create a false situation requiring "expert assistance," whereby fraudsters use any pretext to coerce victims into providing confidential data in their "interests".1.1. Psychological mechanisms underlying manipulation
Manipulators exploit a number of fundamental human qualities to break down the victim's psychological defenses:- Urgency and fear. The victim is informed of a supposedly unauthorized transaction, an attempted withdrawal of funds, or a fraudulent loan application. A sense of urgency or panic compels the victim to act hastily, without considering the consequences.
- Authority. Froders pose as bank employees, law enforcement officers (FBI "secure account"), or IT department employees, exploiting their respect for official structures.
- Vanity and the desire to be useful. The victim is led to believe they are participating in a special operation to catch criminals in the banking sector, which boosts their self-esteem.
- The Crowd Effect: Fraudsters can create the appearance of multi-party communication by recruiting accomplices playing different roles.
1.2. Real Tools and Methods in 2026
The fraudsters' arsenal is constantly being improved:- Number spoofing. Fraudsters use SIP telephony to call from numbers identical to the official bank numbers on the back of their cards. In one high-profile case in Kyiv, fraudsters used SIP telephony to spoof the number, creating the illusion of a call from a legitimate bank, and tricked a pensioner out of 64,000 hryvnias. If the conversation seems suspicious, end the call immediately.
- Social engineering in the B2B sector. Groups like UNC6040 use vishing to attack large corporations. They pose as IT support staff and, through call centers, convince employees of targeted organizations to perform actions that give fraudsters access to accounts, such as Salesforce. Alexander Pautov, head of fraud prevention at BI.Zone, previously warned that fraudsters are using mass messaging apps, sending SMS messages, and making phone calls.
- Use of remote access programs. Scammers persuade victims to install programs like AnyDesk, TeamViewer, or Quick Support, which allow them to remotely control the victim's phone and conduct online transfers through their personal account.
- Next-generation AI attacks. In 2026, a trend toward multi-channel phishing (a combination of email and phone) will be noticeable. Artificial intelligence is used to create plausible email text and even call scripts, ensuring a consistent and urgent message across channels.
Part 2. Phishing on Social Media and Messengers: New Frontiers of Data Mining
As people shifted en masse to messaging apps and social media, scammers followed suit. Fake messaging apps, which malware disguises as "next-generation secure messaging apps," have now become a popular attack vector.2.1. Scale of the threat and infection mechanism
- Fake messaging apps are exploding. The number of such cases increased by 20% in the first four months of 2026. Fraudsters have registered over 13,000 domains to promote such services. After installing infected software, scammers gain access to users' personal data (contacts, messages) and can steal money if banking services are linked to the device.
- "Fullz" Collection. "Fullz" is internet slang for a "complete package" of a person's personal information. Such a package can include a person's name, address, date of birth, Social Security number, credit card information, and even bank account access information. Phishing websites and fake social media profiles are aimed at collecting precisely these large data packages for subsequent resale on the shadow market.
- New deception technologies. There have been cases of VCF (vCard) files being used to spoof contacts in phonebooks, causing the caller to be a scammer rather than a real subscriber.
2.2. Industrialization of the Darknet and Data Leaks
Modern underground forums have evolved into fully-fledged high-tech ecosystems with their own economies, escrow services, and even built-in cryptocurrency wallets, where users' internal accounts can contain hundreds of thousands of dollars. These platforms sell not only passwords but also ready-made "digital dossiers" on people — Fullz, bank logs, and session tokens (active cookies) that allow them to bypass multi-factor authentication. The average price of stolen data on the darknet is steadily declining, making it more accessible to mass-market hackers.Part 3. Prospects
3.1. The Role of AI in the Future
In 2026, we will enter the era of automated social engineering.Artificial intelligence will allow scammers to:
- Instantly analyze social media profiles to personalize attacks.
- Generate ideal conversation scripts on the fly.
- Clone voices to call relatives asking for urgent help.
This means that old security methods (lists of "good" questions) will become completely obsolete. The only reliable protection will be hardware authentication methods and an absolute zero-trust threshold.