Any phishing scams that occur, the purpose is to trick unsuspecting victims or organizations into taking a specific action and that can range from clicking on malicious links, downloading harmful files or sharing login credentials. Sometimes the effectiveness of phishing attacks stems from their use of social engineering techniques that have the ability to exploit human psychology or behavior. In 2025 we have witnessed the how evolving phishing scams that have affected organizations financially.

Often we see phishing scams create a sense of urgency, or curiosity thereby prompting victims to act quickly without verifying the authenticity of incoming request. Now with evolving technology, phishing tactics are also evolving making these attacks increasingly sophisticated, hard to detect. In coming years we will witness how AI will power more phishing attacks, including text-based impersonations to deepfake communications. These will be more cheap and popular with threat actors.

Cyber security researchers found that there is a link between ransomware, malware and form encryption and most were caused by.

14% Malicious websites

54% Phishing

27% Poor user pactices / gullibility

26% Lack of cybersecurity training

A survey by Statista found that ransomware infections were caused by:

• 54% Phishing
• 27% Poor user pactices / gullibility
• 26% Lack of cybersecurity training
• 14% Malicious websites

In this blog we will highlight latest phishing statistics that emerged in 2025 ,affecting organizations and phishing scams are changing.

As per APWG report found on Unique phishing sites. This is a primary measure of reported phishing across the globe. This is determined by the unique bases of phishing URLs found in phishing emails reported to APWG’s repository.

In the first quarter of 2025, APWG observed 1,003,924 phishing attacks. This was the largest quarterly
total since 1.07 million were observed in Q4 2023. The number has climbed steadily over the last year:
from 877,536 in Q2 2024, to 932,923 in Q3, to 989,123 in Q4. One of the reason cited being advancement in AI is also making it easier for criminals to create convincing and personalized phishing lures.

Hoxhunt find alarming statistics on phishing related attack of 2025

Business email compromise (BEC)	A staggering 64% of businesses report facing BEC attacks in 2024, with a typical financial loss averaging $150,000 per incident​. These phishing attacks frequently target employees with access to financial systems, mimicking executives or trusted contacts.
Credential phishing	Around 80% of phishing campaigns aim to steal credentials, particularly targeting cloud-based services like Microsoft 365 and Google Workspace. With the growing reliance on cloud platforms, cyber attackers leverage realistic fake login pages to deceive users.
HTTPS phishing	An increasing number of phishing sites now use HTTPS to appear legitimate. In 2024, approximately 80% of phishing websites feature HTTPS, complicating detection for users.
Voice phishing (vishing)	Vishing attacks are growing in prevalence, with 30% of organizations reporting instances where threat actors used fake calls to impersonate officials or executives.
Quishing (QR code phishing)	QR code phishing attacks (quishing) increased by 25% year-over-year, as attackers exploit physical spaces like posters or fake business cards to lure victims.
AI-driven attacks	AI is powering phishing attacks, with deepfake impersonations increasing by 15% in the last year. These attacks often target high-value individuals in finance and HR.
Multi-channel phishing	Attackers are increasingly exploiting platforms like Slack, Teams, and social media. Around 40% of phishing campaigns now extend beyond email, reflecting a shift to these channels.
Government agency impersonation	Phishing emails mimicking government bodies such as the IRS or international tax agencies have increased by 35%. These often involve claims about overdue taxes or fines.
Phishing kits	The availability of ready-to-use phishing kits on the dark web has risen by 50%, enabling less sophisticated attackers to deploy high-quality phishing schemes​.
Brand impersonation	Attackers frequently impersonate well-known brands like Microsoft, Amazon, and Facebook, leveraging user trust. For example, over 44,750 phishing attacks specifically targeted Facebook by embedding its name in domains and subdomains​ over the past year.

Cost of Phishing attacks

According to the 2024 IBM / Ponemon Cost of a Data Breach study, the average annual cost of phishing rose by nearly 10% from 2024 to 2023, from $4.45m to $4.88m. That’s the biggest jump since the pandemic.

The IBM study reported the following costs:

• Phishing breaches: $4.88M
• Social engineering: $4.77M
• BEC: $4.67M

The above-listed categories of cyber security breach costs are all related to people-targeted attacks. BEC, social engineering, and stolen credentials often contain a phishing element.

Barracuda research found that email remains the common attack vector for cyber threats and highlighted their key findings:

1 in 4 email messages are malicious or unwanted spam.

83% of malicious Microsoft 365 documents contain QR codes that lead to phishing websites.

20% of companies experience at least one account takeover (ATO) incident each month.

Nearly one-quarter of all HTML attachments are malicious and more than three-quarters of
companies are not actively preventing spoofed emails.

Bitcoin sextortion scams, an emerging trend, account for 12% of malicious PDF attachments.

Nearly half of all companies have not configured a DMARC policy, putting them at risk
of email spoofing, phishing attacks, and business email compromise.

The Barracuda research also found malicious one in four emails are either malicious or unwanted spam and malicious attachment is prevalent in various file.

An alarming 87% of binaries detected were malicious, highlighting the need for strict policies against executable files being sent via email, since they can directly install malware. Despite a relatively low total volume, HTML files have a high malicious rate of 23% and are often used for phishing and credential theft.

The research say that small businesses more vulnerable to email threats, due to limited cybersecurity resources, smaller IT teams and they rely on basic email security solutions. Small business may not have required solutions to handle sophisticated attacks, such as business email compromise (BEC), phishing and ransomware.

How Organizations can strengthen their defense

As organizations embark to strengthen their defenses, it’s crucial they don’t overlook the human element and Cybersecurity hygiene. That definitely starts by identifying security at every step starting from ensuring every user, machine or system that has right to access privileges.

Cybersecurity is as much a cultural issue as it is a technical one, as a single click can compromise an entire organization, behavior starts to shift from compliance to accountability 

Whenever there is a successful phishing attack, researchers emphasize that this attack succeeds by exploiting human trust and familiarity with corporate communication formats. Security awareness remains the most vigorous defense as the growing complexity of these campaigns indicates that phishing operations are increasingly automated, data-driven and adaptive.

Conclusion: As organizations move towards adopting AI, so as attackers to continuously refining their tactics, evade traditional security measures. In this scenario organizations must mitigate the risks by adopting a multi-layered approach to email security. This will include all from leveraging AI-driven threat detection, real-time monitoring and user awareness training.

Phishing Detection & DeepPhish

For organizations who reply on unlike traditional rule-based phishing detection, which relies on blacklists and predefined rules. DeepPhish is implemented, that continuously learns from new phishing attempts, making it highly adaptive and effective against evolving threats.

DeepPhish employs a multi-layered AI approach to detect phishing threats and theses include Email and Website Analysis,uses ML algorithms to analyze historical phishing attacks and identify new patterns and NLP helps DeepPhish analyze email content, message tone, and linguistic patterns that phishers use to trick users.

(Source: APWG.org)

(Source: https://www.barracuda.com/reports/2025-email-threats-report)

(Sources: hoxhunt.com)