Silent Librarian is a group that has targeted research and proprietary data at universities, government agencies, and private sector companies worldwide since at least 2013. Members of Silent Librarian are known to have been affiliated with the Iran-based Mabna Institute which has conducted cyber intrusions at the behest of the government of Iran, specifically the Islamic Revolutionary Guard Corps (IRGC).[1][2][3]
13
Techniques40th pct
8
Tactics48th pct
0
Tools & malwareNone recorded
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
Silent Librarian has acquired domains to establish credential harvesting pages, often spoofing the target organization and using free top level domains .TK, .ML, .GA, .CF, and .GQ.8910111213
Silent Librarian has established e-mail accounts to receive e-mails forwarded from compromised accounts.14
Resource Developmentno detection rules
Standing G0122
Reach is how much of ATT&CK this group touches. Coverage is how well defended each thing it does is, as a median per technique rather than a total — a total would just restate the reach. Each figure is ranked against all 176 ATT&CK groups only where that population actually spreads. Where most of the population shares one value, a percentile would rank the tie instead of the entity, so the raw value is shown and no rank is claimed.
Reach
Techniques1340th pct
40th percentile · 60% of 176 ATT&CK groups have more Enterprise techniques.
Tactics848th pct
48th percentile · 52% of 176 ATT&CK groups have more tactics spanned.
Tools & malware0Bottom 9%
9th percentile · 91% of 176 ATT&CK groups have more tools and malware.
Campaigns089% tie · 4 values
89% of the population shares a single value across only 4 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique1medBottom 6%
6th percentile · 94% of 176 ATT&CK groups have more detection rules per technique.
Tests / technique0medBottom 16%
16th percentile · 84% of 176 ATT&CK groups have more atomic tests per technique.
Data comps / technique1med65% tie · 12 values
65% of the population shares a single value across only 12 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique1med43% tie · 11 values
43% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this group’s 13 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
Mark Morowczynski '@markmorow', MikeDuddington, '@dudders1', Tim Shelton
2022-08-11
2022-08-18
6f583da0-3a90-4566-a4ed-83c09fe18bbf
This method uses uncommon error codes on failed logons to determine suspicious activity and tampering with accounts that have been disabled or somehow restricted.
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
248649b7-d64f-46f0-9fb2-a52774166fb5
Resource owner password credentials (ROPC) should be avoided if at all possible as this requires the user to expose their current password credentials to the application directly. (...)
Identifies two sign-ins originating from geographically distant locations, where at least one of the locations may also be atypical for the user, given past behavior.
The following analytic detects unusual authentication activity in Azure AD, specifically when a single user account has over 8 authentication attempts using 3+ unique application IDs and 5+ unique user agents within a short period. (...)
Mark Morowczynski '@markmorow', Gloria Lee, '@gleeiamglo'
2023-09-07
—
a2cb56ff-4f46-437a-a0fa-ffa4d1303cba
Splunk
The following analytic identifies a single source IP failing to authenticate with multiple valid users, potentially indicating a Password Spraying attack against an Azure Active Directory tenant. (...)
Detects a successful login to the Microsoft Intune Company Portal which could allow bypassing Conditional Access Policies and InTune device trust using a tool like TokenSmith.
This analytic detects the creation of privileged user accounts on Cisco IOS devices, which could indicate an attacker establishing backdoor access. (...)
This analytic correlates risk events between privileged account creation on Cisco IOS devices and HTTP requests to privileged execution paths such as `/level/15/exec/-/*`. (...)
The following analytic detects the use of known suspicious SSL certificates in any observed event where the SSL_CertFingerprint field is present. (...)