Virus Bulletin
Copyright © 2025 Virus Bulletin
In the Q4 2025 VBSpam test – which forms part of Virus Bulletin's continuously running security product test suite – we measured the performance of a number of email security solutions against various streams of wanted, unwanted and malicious emails. Half of the solutions we tested opted to be included in the public test, the rest opting for private testing (all details and results remaining unpublished). The solutions tested publicly – and included in this report – were ten full email security solutions and one open-source solution.
Our latest round of testing once again revealed some sophisticated and targeted email threats, but we also observed continued adaptation and overall improvement in the filtering capabilities of email security solutions.
For some additional background to this report, the table and map below show the geographical distribution (based on sender IP address) of the spam emails seen in the test1. (Note: these statistics are relevant only to the spam samples we received during the test period.)
| # | Sender's IP country | Percentage of spam |
| 1 | China | 34.56% |
| 2 | United States | 17.81% |
| 3 | Japan | 4.59% |
| 4 | Brazil | 3.13% |
| 5 | Russian Federation | 3.09% |
| 6 | India | 1.91% |
| 7 | Argentina | 1.80% |
| 8 | Germany | 1.47% |
| 9 | United Kingdom | 1.22% |
| 10 | France | 1.09% |
Top 10 countries from which spam was sent.

Geographical distribution of spam based on sender IP address.
This test was executed in accordance with the AMTSO Standard of the Anti-Malware Testing Standards Organization. The compliance status can be verified on the AMTSO website:
A phishing campaign that caught our attention was one that targeted users of Office 365. We observed the active campaign on 3 November from 15:12 to 17:33 (UTC), bypassing the filters of most of the email security solutions.
The campaign likely aims to harvest Microsoft 365 credentials or collect payment data via phone. The HTML attachment is engineered to load a live phishing page; if opened in a browser with network access, it can capture credentials.
Phishing page loaded from the HTM attachment.
This email is a high-risk phishing message delivered through a legitimate Freshservice notification channel, allowing it to bypass standard email security controls. The attacker inserted fraudulent content into a ticket request, impersonating AG Insurance and claiming the recipient is entitled to a reimbursement.
The message contains a malicious Thinkific tracking link that redirects to a phishing site (ag[.]assurance-contact[.]info) designed to harvest personal and financial information. The email uses professional formatting, brand impersonation, and urgency to appear credible, representing a significant social-engineering threat.
Brand impersonation via ticket notification sample.
Malicious domains / URLs:
Suspicious email artifacts:
Phishing infrastructure characteristics:
Of the participating full solutions, Zoho Mail achieved a VBSpam award, while seven others – Bitdefender GravityZone Premium, FortiMail, N-able Mail Assure, N-able SpamExperts, Net at Work NoSpamProxy, SEPPmail.cloudfilter and Sophos Email – were awarded a VBSpam+ certification.
(Note: since, for a number of products, catch rates and/or final scores were very close to, whilst remaining a fraction below, 100%, we quote all the spam-related scores with three decimal places.)
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SC rate: 99.992%
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Another VBSpam+ certification is awarded to Bitdefender, marking an uninterrupted 10-year run of the higher level certification. The productʼs performance continues to be among the top ranking, with no malware or phishing threats bypassing Bitdefender's filters and no false positives of any kind.
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SC rate: 99.758%
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On its first appearance in the VBSpam test Coro Email security performed impressively, blocking more than 99.91% of phishing samples and 100% of malware threats, with an overall 99.75% spam detection rate. Four false positives were the only fly in the ointment, resulting in the final score falling just short of the VBSpam award criteria.
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SC rate: 99.920%
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With no false positives of any kind, higher than 99.90% spam catch rate and green values for all speed measurements, FortiMail continues the same solid performance we've seen from it in previous tests and earns VBSpam+ certification.
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SC rate: 99.938%
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N-able Mail Assure earns VBSpam+ certification with an excellent and comprehensive performance. It boasts a 99.93% spam detection rate and zero false positives, leading to a final score of 99.938.
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SC rate: 99.936%
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Putting in a similarly impressive performance to that of its sister product, N-able SpamExperts also earns VBSpam+ certification.
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SC rate: 99.984%
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NoSpamProxy was one of only three products in this test that managed to successfully block all the malware and phishing threats. Adding a 99.98% spam catch rate, a lack of false positives and green values for all speed measurements, a well deserved VBSpam+ certification is awarded to Net at Work's product.
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SC rate: 79.163%
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As in previous tests, the open-source Rspamd found dealing with the malware and phishing samples a challenge and in this test achieved a slightly lower final score than previously. Despite this, we continue to see a decent overall performance from the solution.
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SC rate: 98.770%
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The upgraded Rspamd configuration significantly outperformed the basic version, successfully blocking 98.77% of spam samples and achieving a final score of 95.959.
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SC rate: 99.9998%
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It was an almost flawless performance from SEPPmail in this test. With no false positives of any kind and only one missed unwanted sample, the product earns VBSpam+ certification with an almost perfect final score.
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SC rate: 99.926%
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In this test, Sophos managed to block more than 99.90% of malware and phishing samples while successfully filtering the ham and newsletters with no false positives. With a final score of 99.926 and green values for all speed measurements, the product earns VBSpam+ certification.
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SC rate: 99.119%
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Zoho Mail achieved higher than 99% catch rates across the malware and phishing samples as well as on the overall spam corpus. Whilst the product successfully filtered the newsletters with no false positives, a false positive in the ham set brought its final score beneath the VBSpam+ threshold – nevertheless, the product earns VBSpam certification with ease.
| True negatives | False positives | FP rate | False negatives | True positives | SC rate | Final score | VBSpam | |
| Bitdefender GravityZone Premium | 1061 | 0 | 0.00% | 7.8 | 100857.4 | 99.992% | 99.992 | |
| Coro Email security | 1057 | 4 | 0.38% | 244.2 | 100621 | 99.758% | 97.884 | |
| Fortinet FortiMail | 1061 | 0 | 0.00% | 80.4 | 100784.8 | 99.920% | 99.920 | |
| N-able Mail Assure | 1061 | 0 | 0.00% | 63 | 100802.2 | 99.938% | 99.938 | |
| N-able SpamExperts | 1061 | 0 | 0.00% | 65 | 100800.2 | 99.936% | 99.936 | |
| Net at Work NoSpamProxy | 1061 | 0 | 0.00% | 16 | 100849.2 | 99.984% | 99.984 | |
| Rspamd | 1058 | 3 | 0.28% | 21017.4 | 79847.8 | 79.163% | 77.663 | |
| Rspamd Premium 3.13.2 | 1055 | 6 | 0.57% | 1240.2 | 99625 | 98.770% | 95.959 | |
| SEPPmail.cloudfilter | 1061 | 0 | 0.00% | 0.2 | 100865 | 99.9998% | 99.9998 | |
| Sophos Email | 1061 | 0 | 0.00% | 74.8 | 100790.4 | 99.926% | 99.926 | |
| Zoho Mail | 1060 | 1 | 0.09% | 888.2 | 99977 | 99.119% | 98.651 |
| Newsletters | Malware | Phishing | Project Honey Pot | Abusix | MXMailData | STDev† | |||||||
| False positives | FP rate | False negatives | SC rate | False negatives | SC rate | False negatives | SC rate | False negatives | SC rate | False negatives | SC rate | ||
| Bitdefender GravityZone Premium | 0 | 0.00% | 0 | 100.000% | 0 | 100.000% | 2 | 99.996% | 5.8 | 99.987% | 0 | 100.000% | 0.11 |
| Coro Email security | 0 | 0.00% | 0 | 100.000% | 11 | 99.910% | 164.6 | 99.696% | 79.6 | 99.817% | 0 | 100.000% | 0.81 |
| Fortinet FortiMail | 0 | 0.00% | 0 | 100.000% | 18 | 99.860% | 56 | 99.896% | 23.4 | 99.946% | 1 | 99.970% | 0.32 |
| N-able Mail Assure | 0 | 0.00% | 0 | 100.000% | 2 | 99.980% | 9 | 99.983% | 54 | 99.876% | 0 | 100.000% | 0.21 |
| N-able SpamExperts | 0 | 0.00% | 0 | 100.000% | 2 | 99.980% | 9 | 99.983% | 56 | 99.871% | 0 | 100.000% | 0.22 |
| Net at Work NoSpamProxy | 0 | 0.00% | 0 | 100.000% | 0 | 100.000% | 1.4 | 99.997% | 14.6 | 99.966% | 0 | 100.000% | 0.13 |
| Rspamd | 1 | 3.23% | 103 | 82.300% | 2363 | 81.660% | 13686.8 | 74.690% | 6405.6 | 85.284% | 925 | 71.640% | 7.82 |
| Rspamd Premium 3.13.2 | 0 | 0.00% | 1 | 99.830% | 98 | 99.240% | 919.8 | 98.299% | 183.4 | 99.579% | 137 | 95.800% | 1.29 |
| SEPPmail.cloudfilter | 0 | 0.00% | 0 | 100.000% | 0 | 100.000% | 0 | 100.000% | 0.2 | 99.9998% | 0 | 100.000% | 0.02 |
| Sophos Email | 0 | 0.00% | 5 | 99.140% | 1 | 99.990% | 43 | 99.920% | 21.8 | 99.950% | 10 | 99.690% | 0.35 |
| Zoho Mail | 0 | 0.00% | 1 | 99.830% | 66 | 99.490% | 522.4 | 99.034% | 358.8 | 99.176% | 7 | 99.790% | 2.01 |
† The standard deviation of a product is calculated using the set of its hourly spam catch rates.
| Speed | ||||
| 10% | 50% | 95% | 98% | |
| Bitdefender GravityZone Premium | ||||
| Coro Email security | ||||
| Fortinet FortiMail | ||||
| N-able Mail Assure | ||||
| N-able SpamExperts | ||||
| Net at Work NoSpamProxy | ||||
| Rspamd | ||||
| Rspamd Premium 3.13.2 | ||||
| SEPPmail.cloudfilter | ||||
| Sophos Email | ||||
| Zoho Mail | ||||
| Products ranked by final score | |
| SEPPmail.cloudfilter | 99.9998 |
| Bitdefender GravityZone Premium | 99.992 |
| Net at Work NoSpamProxy | 99.984 |
| N-able Mail Assure | 99.938 |
| N-able SpamExperts | 99.936 |
| Sophos Email | 99.926 |
| Fortinet FortiMail | 99.920 |
| Zoho Mail | 98.651 |
| Coro Email Security | 97.884 |
| Rspamd Premium 3.13.2 | 95.959 |
| Hosted solutions | Anti-malware | IPv6 | DKIM | SPF | DMARC | Multiple MX-records | Multiple locations |
| Coro Email security | Coro | √ | √ | √ | √ | ||
| N-able Mail Assure | N-able Mail Assure | √ | √ | √ | √ | ||
| N-able SpamExperts | SpamExperts | √ | √ | √ | √ | ||
| Net At Work NoSpamProxy | 32Guards & NoSpamProxy | √ | √ | √ | √ | √ | |
| Rspamd Premium | ClamAV | √ | √ | √ | √ | √ | |
| SEPPmail.cloudfilter | SEPPmail, ClamAV & ESET | √ | √ | √ | √ | √ | √ |
| Sophos Email | Sophos | √ | √ | √ | √ | √ | √ |
| Zoho Mail | Zoho | √ | √ | √ | √ | √ |
| Local solutions | Anti-malware | IPv6 | DKIM | SPF | DMARC | Interface | |||
| CLI | GUI | Web GUI | API | ||||||
| Bitdefender GravityZone Premium | Bitdefender | √ | √ | √ | √ | ||||
| Fortinet FortiMail | Fortinet | √ | √ | √ | √ | √ | √ | √ | |
| Rspamd | None | √ | |||||||

The full VBSpam test methodology can be found at https://www.virusbulletin.com/testing/vbspam/vbspam-methodology/vbspam-methodology-ver30/.
The test ran for 16 days, from 12am on 1 November to 12am on 17 November 2025 (GMT).
The test corpus consisted of 101,970 emails. 100,878 of these were spam, 54,084 of which were provided by Project Honey Pot, 43,532 were provided by Abusix with the remaining 3,262 spam emails provided by MXMailData. There were 1,061 legitimate emails ('ham') and 31 newsletters, a category that includes various kinds of commercial and non-commercial opt-in mailings.
16 emails in the spam corpus were considered 'unwanted' (see the June 2018 report) and were included with a weight of 0.2; this explains the non-integer numbers in some of the tables.
Moreover, 582 emails from the spam corpus were found to contain a malicious attachment while 12,884 contained a link to a phishing or malware site; though we report separate performance metrics on these corpora, it should be noted that these emails were also counted as part of the spam corpus.
Emails were sent to the products in real time and in parallel. Though products received the email from a fixed IP address, all products had been set up to read the original sender’s IP address as well as the EHLO/HELO domain sent during the SMTP transaction, either from the email headers or through an optional XCLIENT SMTP command2.
For those products running in our lab, we all ran them as virtual machines on a VMware ESXi cluster. As different products have different hardware requirements – not to mention those running on their own hardware, or those running in the cloud – there is little point comparing the memory, processing power or hardware the products were provided with; we followed the developers’ requirements and note that the amount of email we receive is representative of that received by a small organization.
Although we stress that different customers have different needs and priorities, and thus different preferences when it comes to the ideal ratio of false positive to false negatives, we created a one-dimensional ‘final score’ to compare products. This is defined as the spam catch (SC) rate minus five times the weighted false positive (WFP) rate. The WFP rate is defined as the false positive rate of the ham and newsletter corpora taken together, with emails from the latter corpus having a weight of 0.2:
WFP rate = (#false positives + 0.2 * min(#newsletter false positives , 0.2 * #newsletters)) / (#ham + 0.2 * #newsletters)
while in the spam catch rate (SC), emails considered ‘unwanted’ (see above) are included with a weight of 0.2.
The final score is then defined as:
Final score = SC - (5 x WFP)
In addition, for each product, we measure how long it takes to deliver emails from the ham corpus (excluding false positives) and, after ordering these emails by this time, we colour-code the emails at the 10th, 50th, 95th and 98th percentiles:
| (green) = up to 30 seconds | |
| (yellow) = 30 seconds to two minutes | |
| (orange) = two to ten minutes | |
| (red) = more than ten minutes |
Products earn VBSpam certification if the value of the final score is at least 98 and the ‘delivery speed colours’ at 10 and 50 per cent are green or yellow and that at 95 per cent is green, yellow or orange.
Meanwhile, products that combine a spam catch rate of 99.5% or higher with a lack of false positives, no more than 2.5% false positives among the newsletters and ‘delivery speed colours’ of green at 10 and 50 per cent and green or yellow at 95 and 98 per cent earn a VBSpam+ award.
1 For a number of samples (6,561 samples; 6.50% of the total) we were unable to find data about geographical location based on IP address.
2 http://www.postfix.org/XCLIENT_README.html.