Malicious PDF — malware analysis report

Static analysis result for SHA-256 99ec43224fc6fe04…

MALICIOUS

PDF

34.3 KB Authoring application: ImageMagick
MD5: 1e5de9be432078bb969cc64ce8852253 SHA-1: 491c34d8b20da5e99ee35c806d80cfd66cf0f2a0 SHA-256: 99ec43224fc6fe043e5bfb37111439264984ccbb409cb57bfe4711ca859b97db
92 Risk Score

Malware Insights

MITRE ATT&CK
T1566.002 Spearphishing Attachment T1204.002 Malicious File

The file is a PDF that contains multiple external URIs pointing to other PDF files, disguised as 'health informatics books'. The ClamAV detection 'Pdf.Phishing.TtraffRobotInstall-7605656-0' and the ML classifier strongly indicate malicious intent, likely phishing or malware distribution. The document body, though heavily obfuscated, contains text fragments related to 'Health informatics books pdf', reinforcing the lure. The primary attack pattern involves tricking the user into downloading and opening a further malicious document.

Machine Learning

  • Nyx PDF Classifier malicious score 0.9999

Heuristics 3

  • ClamAV: Pdf.Phishing.TtraffRobotInstall-7605656-0 critical CLAMAV_DETECTION
    ClamAV detected this file as malware: Pdf.Phishing.TtraffRobotInstall-7605656-0
  • External URI info PDF_URI
    PDF contains an external URL action
  • Embedded URL info EMBEDDED_URL
    One or more URLs were extracted from the document. The URL itself is not a detection — see the per-URL labels for which channel (macro, JS, link annotation, document body, ...) reached each URL.
    URL http://mengdid.com/uploads/1/3/0/6/130620501/gibabiluvesulug-tukurimam-tuvobexi-pagidedimele.pdf
    • http://annafriendfilm.com/uploads/1/3/0/2/130291803/3060c5e.pdf
    • http://troop115.com/uploads/1/3/0/6/130605280/dolofanofila_vebezikofuwax_tolixu_rozat.pdf
    • http://disarmingdoomsday.com/uploads/1/3/0/4/130483480/debidevekapun_xutuganabupi.pdf
    • http://oilbalance.com/uploads/1/3/0/3/130379179/zodasefidewinu_tifijuweni_jolawowuwavufoj_xebel.pdf
    • http://kreativekidsworld.com/uploads/1/3/0/4/130489800/130489800.html#health+informatics+books+pdf

Extracted artifacts 1

Files carved from inside the sample during analysis.

FilenameKindSourceSize
font_00_sfnt_off00001107.bin
13ca541e7285e16b851430d8158c428a699975404d53dc30806d0c79c7d202b7		 pdf-font-stream PDF embedded font (sfnt) at offset 0x1107 7940 bytes

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