好的，我现在要帮用户总结这篇文章的内容，控制在100字以内。首先，我需要快速浏览文章，抓住主要信息。 文章标题是TG Soft的CRAM每周报告，关于意大利的恶意垃圾邮件活动。时间范围是2026年4月20日至26日。内容提到全球活动增加，但意大利的活动减少。主要恶意软件家族包括AgentTesla、FormBook、PureHVNC和Remcos。 文中提到监测到64次活动，其中9次使用意大利语。峰值出现在4月20日，全球19次，意大利5次。恶意软件类型中，脚本文件占70%，其次是Office文档和MSIL文件。 主题方面，邮件主题涉及支付、银行转账、运输等。还有链接到3月/4月的报告。 现在我要把这些信息浓缩到100字以内，确保涵盖主要点：报告内容、时间范围、活动变化、恶意软件家族、数量统计、峰值日期、恶意软件类型分布以及主题内容。 最后检查字数是否符合要求，并确保语言简洁明了。 </think> TG Soft的CRAM报告分析了2026年4月20日至26日的意大利恶意垃圾邮件活动，全球活动增加但意大利活动减少。监测到64次活动，9次使用意大利语，峰值出现在4月20日。主要恶意软件家族包括AgentTesla、FormBook、PureHVNC和Remcos。脚本文件占70%，Office文档和MSIL文件分别占12.5%和9.38%。邮件主题涉及支付、银行转账等。 2026-4-20 10:14:50 Author: www.tgsoft.it(查看原文) 阅读量:0 收藏
Weekly report by TG Soft's CRAM, concerning Italian malspam campaigns.
The week was characterized by Password Stealer of the Families:
Below are the details of the campaigns released during the week from 20 April 2026 to 26 April 2026.
During the week under review, the number of global campaigns increased compared to the previous week, whilst the number of campaigns in Italian decreased.
The blue bar shows the total number of campaigns monitored in Italy in each week, while the red bar concerns campaigns in Italian (and targeting Italy).
We monitored 64 campaigns during the week, 9 of which used Italian as their language.
In order to understand how the various weeks are divided, below is a small table showing the breakdown of the considered period:
| Week |
from | to |
| Week_14 | 30/03 | 05/04 |
| Week_15 | 06/04 | 12/04 |
| Week_16 | 13/04 | 19/04 |
| Week_17 | 20/04 | 26/04 |
During the week, the peak number of global campaigns was recorded on Monday 20 April, with 19 different campaigns per day. The peak number of campaigns in Italian was recorded on Monday 20 April, with 5 different campaigns, as shown in the graph below:
In the following chart we see the malware families spread globally for each day of the week:
Instead in this graph we see the distribution based on malware family. In the past week 10 different families were detected:
The top-ranking samples this week are Script files accounting for 70,31%.
Office documents (Word, Excel, PowerPoint) follow in second place with 12,50%.
As for third place, we find MSIL files with 9,38%.
In the chart below we can see the various types of language used to develop malware:
In the following graph we see the distribution of the various types of languages divided by day:
In this graph we can see the malware families spread during the week with target Italy (in Italian) and composed of 4 families:
The campaigns in Italian analyzed by the TG Soft C.R.A.M. were grouped according to macro categories, obtained from the subject of the email message used for malware distribution (malspam). Below we see the subjects used in the various campaigns divided by day and type of malware.
20/04/2026
AgentTesla - spread through a campaign themed: "Payments".
FormBook - spread through two campaigns themed: "Bank transfers" e "Shipments".
Remcos - spread through two campaigns themed: "Payments" e "Requests".
21/04/2026
FormBook - spread through a campaign themed: "Orders".
22/04/2026
FormBook - spread through a campaign themed: "Payments".
Remcos - spread through a campaign themed: "Payments".
23/04/2026
PureHVNC - spread through a campaign themed: "Miscellaneous"
Check out the March/April campaigns
We invite you to check out the March/April 2026 reports, to stay up-to-date on the malspam campaigns circulating in Italy:
Any information published on our site may be used and published on other websites, blogs, forums, facebook and/or in any other form both in paper and electronic form as long as the source is always and in any case cited explicitly “Source: CRAM by TG Soft www.tgsoft.it” with a clickable link to the original information and / or web page from which textual content, ideas and / or images have been extrapolated.
It will be appreciated in case of use of the information of C.R.A.M. by TG Soft www.tgsoft.it in the report of summary articles the following acknowledgment/thanks “Thanks to Anti-Malware Research Center C.R.A.M. by TG Soft of which we point out the direct link to the original information: [direct clickable link]”
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