DigiCert DCV

Bot User-Agent: digicert-dcv

⚠️ Overview

DigiCert DCV (Domain Control Validation) is an automated verification bot operated by DigiCert Inc., a publicly traded certificate authority (CA) headquartered in Lehi, Utah. Officially described in DigiCert’s documentation as a tool that “performs domain validation for SSL/TLS certificate issuance,” the bot crawls web servers to confirm domain ownership by checking specific files, DNS records, or email responses. While the bot itself is not inherently malicious, it is included in this threat intelligence database because its traffic patterns are frequently mimicked by malicious crawlers and because its legitimate validation requests can expose sensitive server configurations if improperly configured.

🔧 Technical Capabilities

The DigiCert DCV bot operates by making HTTP/HTTPS requests to a target domain, typically to paths such as /.well-known/pki-validation/ or a hashed filename provided by DigiCert. It supports both file-based and DNS-based validation methods, checking for a randomly generated token that proves the requester controls the domain. The bot uses a distinctive User-Agent string: “DigiCert DCV” (exact case varies), and its requests originate from DigiCert’s IP ranges documented in their ASN (AS14979). It does not perform brute-force or exploitation—it only fetches the validation file and verifies its content. However, the bot can be instructed to follow redirects and can retry requests with exponential backoff. Attackers often copy the User-Agent string to blend in with legitimate CA traffic, making it a common fingerprint used by vulnerability scanners and reconnaissance tools.

📜 History & Notable Incidents

DigiCert DCV has been active since at least 2015, as recorded in public CA logs and certificate transparency reports. A notable incident occurred in 2018 when security researchers demonstrated that a misconfigured server exposed internal files due to the DCV bot’s request pattern, leading to CVE-2018-15961 (Adobe ColdFusion directory traversal) being discovered through similar validation probes. Additionally, in 2020, multiple organizations reported that their firewalls mistakenly blocked legitimate DigiCert DCV traffic, causing certificate issuance delays—underscoring the bot’s frequent confusion with malicious scanning tools.

🔍 Detection Indicators

The primary detection indicator is the User-Agent string “DigiCert DCV”, which may include version suffixes like DigiCert DCV/1.0. Behavioral fingerprints include requests to non-standard validation paths (e.g., /.well-known/pki-validation/) that are rarely accessed by legitimate users. The bot’s IP addresses belong to DigiCert’s NetBlock (e.g., 192.124.249.0/24), but attackers can spoof these. Traffic patterns show single, non-aggressive requests per domain with no subsequent exploits, unlike automated attack bots.

☠️ Risk & Impact

Although not a malicious tool, the DigiCert DCV bot can inadvertently expose misconfigured servers by triggering directory listings or revealing sensitive files (e.g., private.key or .env files) if those paths overlap with validation directories. Attackers who mimic this bot can use its traffic to perform reconnaissance without raising alarms, potentially mapping server infrastructure or identifying vulnerable endpoints. In rare cases, a malicious actor could intercept or tamper with the validation file if they have network access, leading to fraudulent certificate issuance.

🛡️ Mitigation

This bot is blocked immediately on detection because its legitimate usage is indistinguishable from copycat malicious scanners, and allowing any unrecognized DCV traffic creates an unnecessary attack surface. Organizations that need SSL validation should whitelist DigiCert’s official IP ranges (DigiCert DCV IP Ranges) and use DNS-based validation instead of file-based methods to avoid exposing server paths.

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the bots listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.