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2023-11-28 00:00:00 | Enquêter sur le risque de références compromises et d'actifs exposés à Internet explorez le rapport révélant les industries et les tailles d'entreprise avec les taux les plus élevés d'identification compromises et d'actifs exposés à Internet.En savoir plus Investigating the Risk of Compromised Credentials and Internet-Exposed Assets Explore the report revealing industries and company sizes with the highest rates of compromised credentials and internet-exposed assets. Read More (lien direct) |
IntroductionIn this report, Kovrr collected and analyzed data to better understand one of the most common initial access vectors (1) - the use of compromised credentials (Valid Accounts - T1078) (2) to access internet-exposed assets (External Remote Services - T113) (3). The toxic combination of these two initial access vectors can allow malicious actors to gain a foothold in company networks before moving on to the next stage of their attack, which can be data theft, ransomware, denial of service, or any other action. There are numerous examples of breaches perpetrated by many attack groups that have occurred using this combination, for example, breaches by Lapsus (4) and APT39 (5), among others. âThis report seeks to demonstrate which industries and company sizes have the highest percentage of compromised credentials and number of internet-exposed assets and face a higher risk of having their networks breached by the toxic combination of the initial access vectors mentioned above.âIt should be noted that having an asset exposed to the internet does not inherently pose a risk or indicate that a company has poor security. In our highly digitized world, companies are required to expose services to the internet so their services can be accessed by customers, vendors, and remote employees. These services include VPN servers, SaaS applications developed by the company, databases, and shared storage units. However, there are some common cases when having an asset exposed to the internet can be extremely risky, for example:âWhen a company unintentionally exposes an asset due to misconfiguration.When a malicious third party obtains compromised credentials of a legitimate third party and accesses an exposed asset.  âTo limit unnecessary internet exposure, companies should employ the following possible mitigations:âUse Multi-Factor Authentication (MFA) for any services or assets that require a connection so that compromised credentials on their own will not be enough to breach an exposed asset.Limit access to the asset to only specific accounts, domains, and/or IP ranges.Segment the internal company network and isolate critical areas so that even if a network is breached through access to an external asset, attackers will not be able to use that access to reach wider or more sensitive areas of the company network. âSummaryâThe following are the main findings from the collected data:âThe Services industry is by far the most exposed to attackers. Companies from that industry have the highest percentage of compromised credentials (74%). However, they have a relatively low amount of internet-exposed assets per company (34%). However, given that an average cyber loss in this industry has been shown to be about $45M, this is highly concerning (6). The Services industry (SIC Division I) is followed by Division E (Transportation, Communications, Electric, Gas, and Sanitary Services, with an average loss of around $58M), which is followed by Division D (Manufacturing, with an average loss of around $25M). The revenue range for companies with the highest number of compromised credentials is $1M-$10M, followed by $10M-$50M. A similar trend is also observed when evaluating company size by the number of employees. Indeed, companies with fewer employees have a higher share of compromised credentials. On average, the larger the company (both in terms of revenue and number of employees (7)), the greater the number of internet-exposed assets.There is a correlation between the industries and revenue ranges of companies targeted by ransomware and those with the highest share of compromised credentials.   âMethodologyâThe data for this research was collected as follows:âData regarding compromised credentials was first collected from Hudson Rock, a provider of various cybercrime data. Data was collected for the previous six months, beginning March 2023. This data | Ransomware Threat Studies Prediction Cloud | APT 39 APT 39 APT 17 | ★★★ |
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2023-08-16 06:46:45 | Rapport de tendance des menaces sur les groupes APT & # 8211;Juin 2023 Threat Trend Report on APT Groups – June 2023 (lien direct) |
Tendances du groupe APT & # 8211;Juin 2023 1) Andariel 2) APT28 3) Cadet Blizzard (Dev-0586) 4) Camaro Dragon 5) Chicheau charmant (Mint Sandstorm) 6) Gamaredon (Shuckworm) 7) Ke3Chang (Apt15, Nickel) 8) Kimsuky 9) Lazarus 10) Eau boueuse 11) Mustang Panda 12) Oceanlotus 13) Patchwork (éléphant blanc) 14) REd Eyes (APT37) 15) Sharp Panda 16) Sidecopy 17) Soldat Stealth ATIP_2023_JUN_THREAT Rapport de tendance sur les groupes APT
APT Group Trends – June 2023 1) Andariel 2) APT28 3) Cadet Blizzard (DEV-0586) 4) Camaro Dragon 5) Charming Kitten (Mint Sandstorm) 6) Gamaredon (Shuckworm) 7) Ke3chang (APT15, Nickel) 8) Kimsuky 9) Lazarus 10) Muddy Water 11) Mustang Panda 12) OceanLotus 13) Patchwork (White Elephant) 14) Red Eyes (APT37) 15) Sharp Panda 16) SideCopy 17) Stealth Soldier ATIP_2023_Jun_Threat Trend Report on APT Groups |
Threat Prediction | APT 38 APT 37 APT 37 APT 35 APT 35 APT 32 APT 32 APT 28 APT 28 APT 15 APT 15 APT 25 | ★★ |
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