Malware reports

Virus Top Twenty for September 2003

 

Kaspersky Labs presents the twenty most widespread viruses for September 20031= I-Worm.Sobig
44.75%
2newI-Worm.Swen
36.50%
3– 1I-Worm.Mimail
6.50%
4+ 1I-Worm.Klez
2.52%
5+ 1 I-Worm.Lentin
2.35%
6– 3 I-Worm.Tanatos
0.81%
7newI-Worm.Dumaru
0.68%</TR
8– 4 Worm.Win32.Lovesan
0.35%
9– 2 Worm.P2P.SpyBot
0.14%
10re-entry Win95.CIH
0.11%
11= Backdoor.SdBot
0.09%
12re-entry I-Worm.Ganda
0.09%
13=VBS.Redlof
0.08%
14– 2 Win32.Parite
0.08%
15+ 4 Worm.Win32.Welchia
0.08%
16re-entry Win32.FunLove
0.08%
17– 1 I-Worm.Roron
0.07%
18– 4Backdoor.Optix.Pro
0.07%
19re-entryI-Wom.Fizzer
0.07%
20– 14Macro.Word97.Thus
0.05%
Other Malicious Programs*
4.52%

Position Change Virus Name Percentage by Occurrence
* not included in the Top Twenty
Malicious Program Types

Virus Top Twenty for September 2003

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Reports

Lazarus targets defense industry with ThreatNeedle

In mid-2020, we realized that Lazarus was launching attacks on the defense industry using the ThreatNeedle cluster, an advanced malware cluster of Manuscrypt (a.k.a. NukeSped). While investigating this activity, we were able to observe the complete life cycle of an attack, uncovering more technical details and links to the group’s other campaigns.

Sunburst backdoor – code overlaps with Kazuar

While looking at the Sunburst backdoor, we discovered several features that overlap with a previously identified backdoor known as Kazuar. Our observations shows that Kazuar was used together with Turla tools during multiple breaches in past years.

Lazarus covets COVID-19-related intelligence

As the COVID-19 crisis grinds on, some threat actors are trying to speed up vaccine development by any means available. We have found evidence that the Lazarus group is going after intelligence that could help these efforts by attacking entities related to COVID-19 research.

Sunburst: connecting the dots in the DNS requests

We matched private and public DNS data for the SUNBURST-malware root C2 domain with the CNAME records, to identify who was targeted for further exploitation. In total, we analyzed 1722 DNS records, leading to 1026 unique target name parts and 964 unique UIDs.

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