
In a recent alert, CERT-UA researchers have unveiled a series of cyber-attacks leveraging the legitimate remote access tool AnyDesk. These campaigns exploit trust in CERT-UA by impersonating its activity, deploying advanced social engineering tactics to compromise victims.
Legitimate tools like AnyDesk, often employed for remote IT support, have increasingly become a weapon of choice for adversaries. According to CERT-UA, attackers are fraudulently claiming to represent the organization to conduct security audits, tricking victims into granting unauthorized access. This tactic allows threat actors to compromise targeted systems, potentially leading to data breaches or further exploitation.
One such attack involved the use of the AnyDesk ID “1518341498”, though CERT-UA warns that IDs may vary across different incidents. The campaign exploits victims’ trust in CERT-UA’s authority, using the organization’s logo and fraudulent claims of cybersecurity assessments.

Adversaries initiate connection requests via AnyDesk under the guise of CERT-UA operations. They rely on the following methods:
- Social Engineering: Victims are lured into believing the connection is legitimate, often due to the use of official branding.
- Exploiting Existing Compromises: Targeted AnyDesk IDs may already have been compromised through earlier attacks, providing adversaries a foothold for further exploitation.
- Unauthorized Remote Access: Attackers exploit functional AnyDesk software installed on victim devices to establish connections without prior consent.
CERT-UA clarifies that while its team may use tools like AnyDesk for legitimate cybersecurity purposes, such operations are conducted only with prior agreement and through pre-established communication channels.
CERT-UA urges users to be vigilant and ensure that remote access tools are enabled only during active sessions and that any operations involving remote access are personally agreed upon through established communication channels. Organizations should also implement proactive defense strategies to detect suspicious behavior promptly.
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