Python + bash
Если вам часто требуется запускать shell команды из Python-кода, какой способ вы используете?
Самый низкоуровневый это функция os.system(), либо os.popen(). Рекомендованный способ это subprocess.call(). Но это всё еще достаточно неудобно.
Советую обратить своё внимание на очень крутую библиотеку sh.
Что она умеет?
🔸 удобный синтаксис вызова команд как функций
# os
import os
os.system("tar cvf demo.tar ~/")
# subprocess
import subprocess
subprocess.call(['tar', 'cvf', 'demo.tar', '~/'])
# sh
import sh
sh.tar('cvf', 'demo.tar', "~/")
🔸 простое создание функции-алиаса для длинной команды
fn = sh.lsof.bake('-i', '-P', '-n')
output = sh.grep(fn(), 'LISTEN')
в этом примере также задействован пайпинг
🔸 удобный вызов команд от sudo
with sh.contrib.sudo:
print(ls("/root"))
Такой запрос спросит пароль. Чтобы это работало нужно соответствующим способом настроить юзера.
А вот вариант с вводом пароля через код.
password = "secret"
sudo = sh.sudo.bake("-S", _in=password+"\n")
print(sudo.ls("/root"))
Это не все фишки. Больше интересных примеров смотрите в документации.
Специально для Windows💀 юзеров
#libs#linux
⚡ 25,000 U.S. businesses already use macOS, and the number keeps growing. Yet macOS threats are still flying under the radar for most security teams.
Attackers know this. 👀 And they're quietly adding more cross-platform threats to take advantage of it, targeting sensitive data.
That's exactly why #ANYRUN just levelled up. The sandbox now supports #macOS alongside #Windows, #Linux, and #Android — one unified place, full visibility, faster verdicts.
👉 Close the gap before it becomes a costly one: https://thn.news/mac-threat-analysis
🚨 Update Your Detection Rules: New Remote Access Trojan
We caught a Go-based RAT and named it #Moonrise. At the time of the analysis, the sample had not yet been submitted to VirusTotal ❗️
The level of access enables credential harvesting, sensitive data collection, and preparation for further compromise without triggering static detections, leaving SOCs with no clear signals to act on.
⚠️ Observed capabilities include:
🔹 Privilege-related functions and persistence mechanisms
🔹 Data theft and credential harvesting
🔹 Process control and command execution
🔹 File upload and execution
🔹 User activity monitoring: screen capture and streaming, webcam and microphone access, keystroke logging, clipboard monitoring
One compromised endpoint can disrupt operations and lead to financial and reputational damage.
👾See sample execution in a live analysis session
✅ Behavior-first triage in #ANYRUN Sandbox lets security teams confirm attacker actions, like remote command execution, UAC bypass attempts, and persistence-related activity, within minutes. Security teams reduce Tier-1 overload and unnecessary escalations, while containing incidents earlier.
👨💻 Equip your SOC with faster decisions and lower workload. See how ANY.RUN fits your workflows
#ExploreWithANYRUN
IOCs:
193[.]23[.]199[.]88
c7fd265b23b2255729eed688a211f8c3bd2192834c00e4959d1f17a0b697cd5e
8a422b8c4c6f9a183848f8d3d95ace69abb870549b593c080946eaed9e5457ad
7609c7ab10f9ecc08824db6e3c3fa5cbdd0dff2555276e216abe9eebfb80f59b
Ed5471d42bef6b32253e9c1aba49b01b8282fd096ad0957abcf1a1e27e8f7551
082fdd964976afa6f9c5d8239f74990b24df3dfa0c95329c6e9f75d33681b9f4
8d7c1bbdb6a8bf074db7fc1185ffd59af0faffb08e0eb46a373c948147787268
JSGuLdr: Multi-Stage Loader Delivering PhantomStealer
#ANYRUN researchers identified #JSGuLdr, a multi-stage JavaScript-to-PowerShell loader used to deliver #PhantomStealer. A JScript file triggers PowerShell through an Explorer COM call, pulls the second stage from %APPDATA%\Registreri62, then uses Net.WebClient to fetch an encrypted payload from Google Drive into %APPDATA%\Autorise131[.]Tel. The payload is decoded in memory and loaded, with PhantomStealerinjected into msiexec.exe.
Execution chain: wscript.exe ➡️ explorer.exe (svchost.exe) ➡️ explorer.exe (COM) ➡️ powershell.exe ➡️ msiexec.exe
👉 See analysis session: https://app.any.run/tasks/7b295f6f-5f16-4a44-a02b-5d59fd4b1e8f?utm_source=tg_thehackernews&utm_medium=post&utm_campaign=techpost&utm_content=task&utm_term=201125
👉 Read full analysis: https://t.me/anyrun_app/698